kdd2021.md

KDD2021 Paper List

论文	作者	摘要	翻译	代码	引用数
A Transformer-based Framework for Multivariate Time Series Representation Learning	George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff			code	100
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning	Xiao Wang, Nian Liu, Hui Han, Chuan Shi			code	63
MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification	Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb			code	52
Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding	Zhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, Dan Pei			code	36
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System	Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He			code	34
Socially-Aware Self-Supervised Tri-Training for Recommendation	Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung			code	31
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting	Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie			code	31
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems	Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang			code	30
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems	Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang			code	30
Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting	Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong			code	28
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity	Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong			code	27
Relational Message Passing for Knowledge Graph Completion	Hongwei Wang, Hongyu Ren, Jure Leskovec			code	26
Deconfounded Recommendation for Alleviating Bias Amplification	Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, TatSeng Chua			code	24
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data	Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao			code	22
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space	Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King			code	21
Curriculum Meta-Learning for Next POI Recommendation	Yudong Chen, Xin Wang, Miao Fan, Jizhou Huang, Shengwen Yang, Wenwu Zhu			code	21
An Embedding Learning Framework for Numerical Features in CTR Prediction	Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He			code	19
PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network	Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He			code	19
A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks	Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang			code	19
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting	Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang			code	19
Tail-GNN: Tail-Node Graph Neural Networks	Zemin Liu, TrungKien Nguyen, Yuan Fang			code	19
FLOP: Federated Learning on Medical Datasets using Partial Networks	Qian Yang, Jianyi Zhang, Weituo Hao, Gregory P. Spell, Lawrence Carin			code	19
Dual Graph enhanced Embedding Neural Network for CTR Prediction	Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He			code	18
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data	Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang			code	18
Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization	Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki			code	17
Learning Elastic Embeddings for Customizing On-Device Recommenders	Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang			code	16
Individual Fairness for Graph Neural Networks: A Ranking based Approach	Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li			code	16
Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection	Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang			code	16
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling	Chuizheng Meng, Sirisha Rambhatla, Yan Liu			code	16
Learning Process-consistent Knowledge Tracing	Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang			code	16
Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts	Jaemin Yoo, Yejun Soun, Yongchan Park, U Kang			code	16
Auto-Split: A General Framework of Collaborative Edge-Cloud AI	Amin BanitalebiDehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang			code	15
Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours	Karishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu			code	15
Learning How to Propagate Messages in Graph Neural Networks	Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang			code	15
SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations	Chenyi Lei, Yong Liu, Lingzi Zhang, Guoxin Wang, Haihong Tang, Houqiang Li, Chunyan Miao			code	14
HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps	Jizhou Huang, Haifeng Wang, Yibo Sun, Miao Fan, Zhengjie Huang, Chunyuan Yuan, Yawen Li			code	14
AutoLoss: Automated Loss Function Search in Recommendations	Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang			code	14
Pre-trained Language Model based Ranking in Baidu Search	Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin			code	14
Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation	Jiawei Zheng, Qianli Ma, Hao Gu, Zhenjing Zheng			code	14
Adversarial Feature Translation for Multi-domain Recommendation	Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin			code	14
How Interpretable and Trustworthy are GAMs?	ChunHao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana			code	14
Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks	Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang			code	14
OpenBox: A Generalized Black-box Optimization Service	Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui			code	14
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction	Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin			code	13
Where are we in embedding spaces?	Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu			code	13
SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps	Xiaomin Fang, Jizhou Huang, Fan Wang, Lihang Liu, Yibo Sun, Haifeng Wang			code	13
MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning	Huimin Ren, Sijie Ruan, Yanhua Li, Jie Bao, Chuishi Meng, Ruiyuan Li, Yu Zheng			code	12
NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs	Enyan Dai, Charu Aggarwal, Suhang Wang			code	12
What Do You See?: Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors	YiShan Lin, WenChuan Lee, Z. Berkay Celik			code	12
S-LIME: Stabilized-LIME for Model Explanation	Zhengze Zhou, Giles Hooker, Fei Wang			code	12
Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering	Cheng Feng, Pengwei Tian			code	12
Deep Learning Embeddings for Data Series Similarity Search	Qitong Wang, Themis Palpanas			code	11
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba	Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen			code	11
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning	Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie			code	11
Causal Understanding of Fake News Dissemination on Social Media	Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu			code	11
Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion	Jaehun Jung, Jinhong Jung, U Kang			code	11
TUTA: Tree-based Transformers for Generally Structured Table Pre-training	Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang			code	11
Fed2: Feature-Aligned Federated Learning	Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen			code	11
Embedding-based Product Retrieval in Taobao Search	Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, XiaoMing Wu, Qianli Ma			code	10
Topology Distillation for Recommender System	SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu			code	10
FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters	Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso			code	10
Attentive Heterogeneous Graph Embedding for Job Mobility Prediction	Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong			code	10
Meta-Learned Spatial-Temporal POI Auto-Completion for the Search Engine at Baidu Maps	Miao Fan, Yibo Sun, Jizhou Huang, Haifeng Wang, Ying Li			code	10
FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data	XinChun Li, DeChuan Zhan			code	10
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph	Mengying Sun, Jing Xing, Huijun Wang, Bin Chen, Jiayu Zhou			code	10
Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference	Jianing Xi, Liping Ye, Qinghua Huang, Xuelong Li			code	10
Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook	Yiqun Liu, Kaushik Rangadurai, Yunzhong He, Siddarth Malreddy, Xunlong Gui, Xiaoyi Liu, Fedor Borisyuk			code	9
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps	Léa Briand, Guillaume SalhaGalvan, Walid Bendada, Mathieu Morlon, VietAnh Tran			code	9
DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks	Yuhui Ding, Quanming Yao, Huan Zhao, Tong Zhang			code	9
Learning to Recommend Visualizations from Data	Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan			code	9
Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism	Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney			code	9
A Unified Solution to Constrained Bidding in Online Display Advertising	Yue He, Xiujun Chen, Di Wu, Junwei Pan, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu			code	9
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification	Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski			code	9
Predicting COVID-19 Spread from Large-Scale Mobility Data	Amray Schwabe, Joel Persson, Stefan Feuerriegel			code	9
Data Quality for Machine Learning Tasks	Nitin Gupta, Shashank Mujumdar, Hima Patel, Satoshi Masuda, Naveen Panwar, Sambaran Bandyopadhyay, Sameep Mehta, Shanmukha C. Guttula, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala			code	9
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport	Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian			code	9
Graph Adversarial Attack via Rewiring	Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang			code	9
DeGNN: Improving Graph Neural Networks with Graph Decomposition	Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang			code	9
Meta Self-training for Few-shot Neural Sequence Labeling	Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah			code	9
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising	Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen			code	8
Learning to Embed Categorical Features without Embedding Tables for Recommendation	WangCheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi			code	8
Pre-trained Language Model for Web-scale Retrieval in Baidu Search	Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin			code	8
Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints	David GarcíaSoriano, Francesco Bonchi			code	8
A Broader Picture of Random-walk Based Graph Embedding	Zexi Huang, Arlei Silva, Ambuj K. Singh			code	8
Preference Amplification in Recommender Systems	Dimitris Kalimeris, Smriti Bhagat, Shankar Kalyanaraman, Udi Weinsberg			code	8
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks	Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin			code	8
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes	Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter			code	8
Approximate Graph Propagation	Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, JiRong Wen			code	8
Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment	Hao Xiong, Junchi Yan, Li Pan			code	8
Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data	Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao			code	8
ROD: Reception-aware Online Distillation for Sparse Graphs	Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui			code	8
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification	Hao Xue, Flora D. Salim			code	8
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling	Serina Chang, Mandy L. Wilson, Bryan L. Lewis, Zakaria Mehrab, Komal K. Dudakiya, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Madhav V. Marathe, Jure Leskovec			code	8
An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions	Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores			code	8
Neural-Answering Logical Queries on Knowledge Graphs	Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong			code	8
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns	Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma			code	8
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations	Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane ClelandHuang, Meng Jiang			code	8
Balancing Consistency and Disparity in Network Alignment	Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo			code	8
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting	Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav V. Marathe			code	8
Multimodal Emergent Fake News Detection via Meta Neural Process Networks	Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao			code	8
Extreme Multi-label Learning for Semantic Matching in Product Search	WeiCheng Chang, Daniel L. Jiang, HsiangFu Yu, ChoonHui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon			code	7
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data	Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou			code	7
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search	Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, TieYan Liu			code	7
Table2Charts: Recommending Charts by Learning Shared Table Representations	Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang, Dongmei Zhang			code	7
Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework	Shuncheng Liu, Han Su, Yan Zhao, Kai Zeng, Kai Zheng			code	7
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising	Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu			code	7
Pre-training on Large-Scale Heterogeneous Graph	Xunqiang Jiang, Tianrui Jia, Yuan Fang, Chuan Shi, Zhe Lin, Hui Wang			code	7
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control	Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong			code	7
A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem	Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He			code	7
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning	Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao			code	7
Leveraging Latent Features for Local Explanations	Ronny Luss, PinYu Chen, Amit Dhurandhar, Prasanna Sattigeri, Yunfeng Zhang, Karthikeyan Shanmugam, ChunChen Tu			code	7
Scalable Hierarchical Agglomerative Clustering	Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu			code	7
Filtration Curves for Graph Representation	Leslie O'Bray, Bastian Rieck, Karsten M. Borgwardt			code	7
Robust Learning by Self-Transition for Handling Noisy Labels	Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, JaeGil Lee			code	7
Analysis and Applications of Class-wise Robustness in Adversarial Training	Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang			code	7
TDGIA: Effective Injection Attacks on Graph Neural Networks	Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang			code	7
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations	João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro			code	7
Adversarial Attacks on Deep Models for Financial Transaction Records	Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo RiveraCastro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev			code	7
Bipartite Dynamic Representations for Abuse Detection	Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec			code	7
MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling	Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato			code	6
Popularity Bias in Dynamic Recommendation	Ziwei Zhu, Yun He, Xing Zhao, James Caverlee			code	6
Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control	Runzhe Wan, Xinyu Zhang, Rui Song			code	6
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning	Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi			code	6
Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems	Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen			code	6
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising	Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao			code	6
Federated Adversarial Debiasing for Fair and Transferable Representations	Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou			code	6
Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning	Huiling Qin, Xianyuan Zhan, Yuanxun Li, Xiaodu Yang, Yu Zheng			code	6
A Novel Multi-View Clustering Method for Unknown Mapping Relationships Between Cross-View Samples	Hong Yu, Jia Tang, Guoyin Wang, Xinbo Gao			code	6
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu	Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong			code	6
Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing	Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang			code	6
Adaptive Transfer Learning on Graph Neural Networks	Xueting Han, Zhenhuan Huang, Bang An, Jing Bai			code	6
Scaling Up Graph Neural Networks Via Graph Coarsening	Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou			code	6
DisenQNet: Disentangled Representation Learning for Educational Questions	Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen, Jianhui Ma, Yu Su, Wei Tong			code	6
TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction	Bo Hui, Da Yan, Haiquan Chen, WeiShinn Ku			code	6
An Efficient Framework for Balancing Submodularity and Cost	Sofia Maria Nikolakaki, Alina Ene, Evimaria Terzi			code	6
Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent	Depeng Xu, Wei Du, Xintao Wu			code	6
An Experimental Study of Quantitative Evaluations on Saliency Methods	XiaoHui Li, Yuhan Shi, Haoyang Li, Wei Bai, Caleb Chen Cao, Lei Chen			code	6
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection	Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang			code	6
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization	Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang			code	6
New Frontiers of Multi-Network Mining: Recent Developments and Future Trend	Boxin Du, Si Zhang, Yuchen Yan, Hanghang Tong			code	6
PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models	Bing He, Mustaque Ahamad, Srijan Kumar			code	5
Debiasing Learning based Cross-domain Recommendation	Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, JiRong Wen			code	5
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling	Siyu Gu, XiangRong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu			code	5
Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages	Cyrus Cousins, Chloe Wohlgemuth, Matteo Riondato			code	5
Towards a Better Understanding of Linear Models for Recommendation	Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou			code	5
Retrieval & Interaction Machine for Tabular Data Prediction	Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu			code	5
Spectral Clustering of Attributed Multi-relational Graphs	Ylli Sadikaj, Yllka Velaj, Sahar Behzadi, Claudia Plant			code	5
Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines	Guang Wang, Zhou Qin, Shuai Wang, Huijun Sun, Zheng Dong, Desheng Zhang			code	5
Uplift Modeling with Generalization Guarantees	Artem Betlei, Eustache Diemert, MassihReza Amini			code	5
Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs	Jialin Dong, Da Zheng, Lin F. Yang, George Karypis			code	5
Fairness-Aware Online Meta-learning	Chen Zhao, Feng Chen, Bhavani Thuraisingham			code	5
PAM: Understanding Product Images in Cross Product Category Attribute Extraction	Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong			code	5
Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber	Vasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, JeongYoon Lee			code	5
Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization	WeiXuan Bao, JunYi Hang, MinLing Zhang			code	5
DARING: Differentiable Causal Discovery with Residual Independence	Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang			code	5
Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries	JunGi Jang, U Kang			code	5
NewsEmbed: Modeling News through Pre-trained Document Representations	Jialu Liu, Tianqi Liu, Cong Yu			code	5
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition	Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang			code	5
Deep Clustering based Fair Outlier Detection	Hanyu Song, Peizhao Li, Hongfu Liu			code	5
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation	Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong			code	5
Geometric Graph Representation Learning on Protein Structure Prediction	Tian Xia, WeiShinn Ku			code	5
Controllable Generation from Pre-trained Language Models via Inverse Prompting	Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang			code	5
Counterfactual Graphs for Explainable Classification of Brain Networks	Carlo Abrate, Francesco Bonchi			code	5
A Framework for Modeling Cyber Attack Techniques from Security Vulnerability Descriptions	Hodaya Binyamini, Ron Bitton, Masaki Inokuchi, Tomohiko Yagyu, Yuval Elovici, Asaf Shabtai			code	5
Analysis of Faces in a Decade of US Cable TV News	James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian			code	5
KompaRe: A Knowledge Graph Comparative Reasoning System	Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong			code	5
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units	Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel			code	5
RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation	Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu			code	5
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms	Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye			code	5
Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning	Hao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang, Guoren Wang			code	5
Reinforcing Pretrained Models for Generating Attractive Text Advertisements	Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie			code	5
AutoML: A Perspective where Industry Meets Academy	Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang			code	5
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation	Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi			code	4
Efficient Data-specific Model Search for Collaborative Filtering	Chen Gao, Quanming Yao, Depeng Jin, Yong Li			code	4
Sliding Spectrum Decomposition for Diversified Recommendation	Yanhua Huang, Weikun Wang, Lei Zhang, Ruiwen Xu			code	4
Device-Cloud Collaborative Learning for Recommendation	Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang			code	4
Norm Adjusted Proximity Graph for Fast Inner Product Retrieval	Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li			code	4
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks	Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang			code	4
Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter	Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Émilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty			code	4
High-Dimensional Similarity Query Processing for Data Science	Jianbin Qin, Wei Wang, Chuan Xiao, Ying Zhang, Yaoshu Wang			code	4
Triangle-aware Spectral Sparsifiers and Community Detection	Konstantinos Sotiropoulos, Charalampos E. Tsourakakis			code	4
Learning Based Proximity Matrix Factorization for Node Embedding	Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang			code	4
MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks	Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma Özcan, Yizhou Sun, Wei Wang			code	4
Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability	Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters			code	4
MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning	Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai			code	4
User Consumption Intention Prediction in Meituan	Yukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li			code	4
Graph Similarity Description: How Are These Graphs Similar?	Corinna Coupette, Jilles Vreeken			code	4
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data	Zhixuan Chu, Stephen L. Rathbun, Sheng Li			code	4
Indirect Invisible Poisoning Attacks on Domain Adaptation	Jun Wu, Jingrui He			code	4
Deep Inclusion Relation-aware Network for User Response Prediction at Fliggy	Zai Huang, Mingyuan Tao, Bufeng Zhang			code	4
Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach	Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu			code	4
Online Advertising Incrementality Testing And Experimentation: Industry Practical Lessons	Joel Barajas, Narayan Bhamidipati, James G. Shanahan			code	4
Why Attentions May Not Be Interpretable?	Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang			code	4
Unsupervised Graph Alignment with Wasserstein Distance Discriminator	Ji Gao, Xiao Huang, Jundong Li			code	4
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging	Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang			code	4
Generalized Zero-Shot Extreme Multi-label Learning	Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma			code	4
Graph Summarization with Controlled Utility Loss	Mahdi Hajiabadi, Jasbir Singh, Venkatesh Srinivasan, Alex Thomo			code	4
Coupled Graph ODE for Learning Interacting System Dynamics	Zijie Huang, Yizhou Sun, Wei Wang			code	4
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations	Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park			code	4
Signed Graph Neural Network with Latent Groups	Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu			code	4
Partial Multi-Label Learning with Meta Disambiguation	MingKun Xie, Feng Sun, ShengJun Huang			code	4
ELITE: Robust Deep Anomaly Detection with Meta Gradient	Huayi Zhang, Lei Cao, Peter VanNostrand, Samuel Madden, Elke A. Rundensteiner			code	4
Modeling Context-aware Features for Cognitive Diagnosis in Student Learning	Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma			code	4
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction	Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Weiwei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning			code	4
Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection	Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong			code	4
Network Experimentation at Scale	Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun			code	4
M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining	Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang			code	4
Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning	Ignacio SegoviaDominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel			code	4
Interpretable Drug Response Prediction using a Knowledge-based Neural Network	Oliver Snow, Hossein SharifiNoghabi, Jialin Lu, Olga I. Zolotareva, Mark Lee, Martin Ester			code	4
HALO: Hierarchy-aware Fault Localization for Cloud Systems	Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang			code	4
Towards Fair Federated Learning	Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang			code	4
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search	Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko			code	3
Globally Optimized Matchmaking in Online Games	Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui			code	3
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature	Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon			code	3
Environment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets	Praveen Venkateswaran, Vinod Muthusamy, Vatche Isahagian, Nalini Venkatasubramanian			code	3
Neural Instant Search for Music and Podcast	Helia Hashemi, Aasish Pappu, Mi Tian, Praveen Chandar, Mounia Lalmas, Benjamin A. Carterette			code	3
SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce	Andrea Nestler, Nour Karessli, Karl Hajjar, Rodrigo Weffer, Reza Shirvany			code	3
Talent Demand Forecasting with Attentive Neural Sequential Model	Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong			code	3
Deep Learning based Crop Row Detection with Online Domain Adaptation	Rashed Doha, Mohammad Al Hasan, Sohel Anwar, Veera Rajendran			code	3
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud	Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi			code	3
Multi-facet Contextual Bandits: A Neural Network Perspective	Yikun Ban, Jingrui He, Curtiss B. Cook			code	3
Multiple-Instance Learning from Similar and Dissimilar Bags	Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu			code	3
Representation Learning on Knowledge Graphs for Node Importance Estimation	Han Huang, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong			code	3
Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning	Zhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang, Gang Hu, Guotong Xie			code	3
Knowledge is Power: Hierarchical-Knowledge Embedded Meta-Learning for Visual Reasoning in Artistic Domains	Wenbo Zheng, Lan Yan, Chao Gou, FeiYue Wang			code	3
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition	Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang			code	3
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction	Fengtong Xiao, Lin Li, Weinan Xu, Jingyu Zhao, Xiaofeng Yang, Jun Lang, Hao Wang			code	3
Fast One-class Classification using Class Boundary-preserving Random Projections	Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur			code	3
PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks	Junjie Chen, Wendy Hui Wang, Hongchang Gao, Xinghua Shi			code	3
Improve Learning from Crowds via Generative Augmentation	Zhendong Chu, Hongning Wang			code	3
Sylvester Tensor Equation for Multi-Way Association	Boxin Du, Lihui Liu, Hanghang Tong			code	3
When Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation Methods	Lukas Faber, Amin K. Moghaddam, Roger Wattenhofer			code	3
Gaussian Process with Graph Convolutional Kernel for Relational Learning	Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang			code	3
Subset Node Representation Learning over Large Dynamic Graphs	Xingzhi Guo, Baojian Zhou, Steven Skiena			code	3
Uncertainty-Aware Reliable Text Classification	Yibo Hu, Latifur Khan			code	3
Semi-Supervised Deep Learning for Multiplex Networks	Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran			code	3
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective	Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li			code	3
Zero-shot Node Classification with Decomposed Graph Prototype Network	Zheng Wang, Jialong Wang, Yuchen Guo, Zhiguo Gong			code	3
Defending Privacy Against More Knowledgeable Membership Inference Attackers	Yu Yin, Ke Chen, Lidan Shou, Gang Chen			code	3
Efficient Incremental Computation of Aggregations over Sliding Windows	Chao Zhang, Reza Akbarinia, Farouk Toumani			code	3
Maximizing Influence of Leaders in Social Networks	Xiaotian Zhou, Zhongzhi Zhang			code	3
Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization	Guy Barshatski, Kira Radinsky			code	3
Generating Mobility Trajectories with Retained Data Utility	Chu Cao, Mo Li			code	3
PD-Net: Quantitative Motor Function Evaluation for Parkinson's Disease via Automated Hand Gesture Analysis	Yifei Chen, Haoyu Ma, Jiangyuan Wang, Jianbao Wu, Xian Wu, Xiaohui Xie			code	3
Robust Object Detection Fusion Against Deception	Ka Ho Chow, Ling Liu			code	3
Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights	David Dohan, Andreea Gane, Maxwell L. Bileschi, David Belanger, Lucy J. Colwell			code	3
A Deep Learning Method for Route and Time Prediction in Food Delivery Service	Chengliang Gao, Fan Zhang, Guanqun Wu, Qiwan Hu, Qiang Ru, Jinghua Hao, Renqing He, Zhizhao Sun			code	3
Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information	Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li			code	3
Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework	Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant			code	3
Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach	Xiao Liang, Zheng Yang, Binghui Wang, Shaofeng Hu, Zijie Yang, Dong Yuan, Neil Zhenqiang Gong, Qi Li, Fang He			code	3
A Bayesian Approach to In-Game Win Probability in Soccer	Pieter Robberechts, Jan Van Haaren, Jesse Davis			code	3
A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting	Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav			code	3
Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis	Jiachen Wang, Dazhen Deng, Xiao Xie, Xinhuan Shu, YuXuan Huang, LeWen Cai, Hui Zhang, MinLing Zhang, ZhiHua Zhou, Yingcai Wu			code	3
Session-Aware Query Auto-completion using Extreme Multi-Label Ranking	Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon			code	2
Simple Yet Efficient Algorithms for Maximum Inner Product Search via Extreme Order Statistics	Ninh Pham			code	2
Towards the D-Optimal Online Experiment Design for Recommender Selection	Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan			code	2
Machine Learning Robustness, Fairness, and their Convergence	JaeGil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang			code	2
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility	Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang			code	2
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems	Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao			code	2
Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach	Junhao Hua, Ling Yan, Huan Xu, Cheng Yang			code	2
Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters	Yuzhen Huang, Xiaohan Wei, Xing Wang, Jiyan Yang, BorYiing Su, Shivam Bharuka, Dhruv Choudhary, Zewei Jiang, Hai Zheng, Jack Langman			code	2
AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce	Xusheng Luo, Le Bo, Jinhang Wu, Lin Li, Zhiy Luo, Yonghua Yang, Keping Yang			code	2
Bootstrapping Recommendations at Chrome Web Store	Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork			code	2
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal	Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong			code	2
Causal Models for Real Time Bidding with Repeated User Interactions	Martin Bompaire, Alexandre Gilotte, Benjamin Heymann			code	2
Fast Rotation Kernel Density Estimation over Data Streams	Runze Lei, Pinghui Wang, Rundong Li, Peng Jia, Junzhou Zhao, Xiaohong Guan, Chao Deng			code	2
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning	Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, KuangChih Lee			code	2
Fine-Grained System Identification of Nonlinear Neural Circuits	Dawna Bagherian, James Gornet, Jeremy Bernstein, YuLi Ni, Yisong Yue, Markus Meister			code	2
Large-Scale Subspace Clustering via k-Factorization	Jicong Fan			code	2
Boosted Second Price Auctions: Revenue Optimization for Heterogeneous Bidders	Negin Golrezaei, Max Lin, Vahab S. Mirrokni, Hamid Nazerzadeh			code	2
Online Additive Quantization	Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen			code	2
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression	Olivier Sprangers, Sebastian Schelter, Maarten de Rijke			code	2
Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks	Minji Yoon, Théophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang			code	2
Knowledge-Enhanced Domain Adaptation in Few-Shot Relation Classification	Jiawen Zhang, Jiaqi Zhu, Yi Yang, Wandong Shi, Congcong Zhang, Hongan Wang			code	2
DHS: Adaptive Memory Layout Organization of Sketch Slots for Fast and Accurate Data Stream Processing	Bohan Zhao, Xiang Li, Boyu Tian, Zhiyu Mei, Wenfei Wu			code	2
Cluster-Reduce: Compressing Sketches for Distributed Data Streams	Yikai Zhao, Zheng Zhong, Yuanpeng Li, Yi Zhou, Yifan Zhu, Li Chen, Yi Wang, Tong Yang			code	2
Diet Planning with Machine Learning: Teacher-forced REINFORCE for Composition Compliance with Nutrition Enhancement	Changhun Lee, Soohyeok Kim, Chiehyeon Lim, Jayun Kim, Yeji Kim, Minyoung Jung			code	2
Lambda Learner: Fast Incremental Learning on Data Streams	Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar			code	2
Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value	Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He			code	2
Machine Learning Explainability and Robustness: Connected at the Hip	Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang			code	2
Automated Machine Learning on Graph	Xin Wang, Wenwu Zhu			code	2
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation	Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry			code	2
Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes	Sohee Cho, Wonjoon Chang, Ginkyeng Lee, Jaesik Choi			code	2
PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics	Arka Daw, M. Maruf, Anuj Karpatne			code	2
Labeled Data Generation with Inexact Supervision	Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang			code	2
Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment	LanZhe Guo, Zhi Zhou, JieJing Shao, Qi Zhang, Feng Kuang, GaoLe Li, ZhangXun Liu, Guobin Wu, Nan Ma, Qun Li, YuFeng Li			code	2
Deep Generative Models for Spatial Networks	Xiaojie Guo, Yuanqi Du, Liang Zhao			code	2
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design	Amin Heyrani Nobari, Wei Chen, Faez Ahmed			code	2
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem	Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha			code	2
Cross-Network Learning with Partially Aligned Graph Convolutional Networks	Meng Jiang			code	2
Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability	Haoran Li, Yang Weng			code	2
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs	Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, XiaoMing Wu			code	2
ControlBurn: Feature Selection by Sparse Forests	Brian Liu, Miaolan Xie, Madeleine Udell			code	2
HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks	Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song			code	2
Temporal Graph Signal Decomposition	Maxwell J. McNeil, Lin Zhang, Petko Bogdanov			code	2
Fruit-fly Inspired Neighborhood Encoding for Classification	Kaushik Sinha, Parikshit Ram			code	2
A Stagewise Hyperparameter Scheduler to Improve Generalization	Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang			code	2
Choice Set Confounding in Discrete Choice	Kiran Tomlinson, Johan Ugander, Austin R. Benson			code	2
Learning Interpretable Feature Context Effects in Discrete Choice	Kiran Tomlinson, Austin R. Benson			code	2
Statistical Models Coupling Allows for Complex Local Multivariate Time Series Analysis	Veronica Tozzo, Federico Ciech, Davide Garbarino, Alessandro Verri			code	2
The Generalized Mean Densest Subgraph Problem	Nate Veldt, Austin R. Benson, Jon M. Kleinberg			code	2
Towards Robust Prediction on Tail Labels	Tong Wei, WeiWei Tu, YuFeng Li, GuoPing Yang			code	2
Quantifying Uncertainty in Deep Spatiotemporal Forecasting	Dongxia Wu, Liyao Gao, Matteo Chinazzi, Xinyue Xiong, Alessandro Vespignani, YiAn Ma, Rose Yu			code	2
Accelerating Set Intersections over Graphs by Reducing-Merging	Weiguo Zheng, Yifan Yang, Chengzhi Piao			code	2
Dynamic Language Models for Continuously Evolving Content	Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork			code	2
Theory meets Practice at the Median: A Worst Case Comparison of Relative Error Quantile Algorithms	Graham Cormode, Abhinav Mishra, Joseph Ross, Pavel Veselý			code	2
Causal and Interpretable Rules for Time Series Analysis	Amin Dhaou, Antoine Bertoncello, Sébastien Gourvénec, Josselin Garnier, Erwan Le Pennec			code	2
What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data	Charbel Merhej, Ryan J. Beal, Tim Matthews, Sarvapali D. Ramchurn			code	2
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization	Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cédric Archambeau			code	2
EXACTA: Explainable Column Annotation	Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan			code	2
Data Science on Blockchains	Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel			code	2
Advances in Mining Heterogeneous Healthcare Data	Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun			code	2
Toward Explainable Deep Anomaly Detection	Guansong Pang, Charu C. Aggarwal			code	2
Counterfactual Explanations in Explainable AI: A Tutorial	Cong Wang, XiaoHui Li, Haocheng Han, Shendi Wang, Luning Wang, Caleb Chen Cao, Lei Chen			code	2
From Deep Learning to Deep Reasoning	Truyen Tran, Vuong Le, Hung Le, Thao Minh Le			code	2
Fairness in Networks: Social Capital, Information Access, and Interventions	Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset			code	2
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search	Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao Liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng			code	1
Joint Graph Embedding and Alignment with Spectral Pivot	Paris A. Karakasis, Aritra Konar, Nicholas D. Sidiropoulos			code	1
Diversity driven Query Rewriting in Search Advertising	Akash Kumar Mohankumar, Nikit Begwani, Amit Singh			code	1
Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings	BoWen Yuan, YuSheng Li, Pengrui Quan, ChihJen Lin			code	1
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising	Liyi Guo, Junqi Jin, Haoqi Zhang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing, Fei Pan, Lvyin Niu, Fan Wu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu			code	1
Architecture and Operation Adaptive Network for Online Recommendations	Lang Lang, Zhenlong Zhu, Xuanye Liu, Jianxin Zhao, Jixing Xu, Minghui Shan			code	1
Aggregating Complex Annotations via Merging and Matching	Alexander Braylan, Matthew Lease			code	1
VisRel: Media Search at Scale	Fedor Borisyuk, Siddarth Malreddy, Jun Mei, Yiqun Liu, Xiaoyi Liu, Piyush Maheshwari, Anthony Bell, Kaushik Rangadurai			code	1
GEM: Translation-Free Zero-Shot Global Entity Matcher for Global Catalogs	Karim Bouyarmane			code	1
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries	Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, HengTze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra			code	1
Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors	Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu			code	1
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition	ChingYuan Bai, HsuanTien Lin, Colin Raffel, Wendy Chiwen Kan			code	1
Q-Learning Lagrange Policies for Multi-Action Restless Bandits	Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe			code	1
An Efficient and Scalable Algorithm for Estimating Kemeny's Constant of a Markov Chain on Large Graphs	Shiju Li, Xin Huang, ChulHo Lee			code	1
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting	Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert			code	1
JOHAN: A Joint Online Hurricane Trajectory and Intensity Forecasting Framework	Ding Wang, PangNing Tan			code	1
Probabilistic Label Tree for Streaming Multi-Label Learning	Tong Wei, JiangXin Shi, YuFeng Li			code	1
Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application	Mingze Zhong, Hong Xie, Qingsheng Zhu			code	1
Triplet Attention: Rethinking the Similarity in Transformers	Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang			code	1
On Post-selection Inference in A/B Testing	Alex Deng, Yicheng Li, Jiannan Lu, Vivek Ramamurthy			code	1
Clustering for Private Interest-based Advertising	Alessandro Epasto, Andrés Muñoz Medina, Steven Avery, Yijian Bai, Róbert BusaFekete, C. J. Carey, Ya Gao, David Guthrie, Subham Ghosh, James Ioannidis, Junyi Jiao, Jakub Lacki, Jason Lee, Arne Mauser, Brian Milch, Vahab S. Mirrokni, Deepak Ravichandran, Wei Shi, Max Spero, Yunting Sun, Umar Syed, Sergei Vassilvitskii, Shuo Wang			code	1
MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance	Zhihan Fang, Guang Yang, Dian Zhang, Xiaoyang Xie, Guang Wang, Yu Yang, Fan Zhang, Desheng Zhang			code	1
Budget Allocation as a Multi-Agent System of Contextual & Continuous Bandits	Benjamin Han, Carl Arndt			code	1
Trustworthy and Powerful Online Marketplace Experimentation with Budget-split Design	Min Liu, Jialiang Mao, Kang Kang			code	1
Contextual Bandit Applications in a Customer Support Bot	Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen			code	1
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions	Maya Srikanth, Anqi Liu, Nicholas AdamsCohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar			code	1
PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma	Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi			code	1
Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction	Yu Zheng, Yongxin Yang, Bowei Chen			code	1
AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational Data	Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng			code	1
KDD 2021 Tutorial on Systemic Challenges and Solutions on Bias and Unfairness in Peer Review	Nihar B. Shah			code	1
LawyerPAN: A Proficiency Assessment Network for Trial Lawyers	Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen			code	1
On Breaking Truss-Based Communities	Huiping Chen, Alessio Conte, Roberto Grossi, Grigorios Loukides, Solon P. Pissis, Michelle Sweering			code	1
Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery	Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun			code	1
Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors	Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan			code	1
A Difficulty-Aware Framework for Churn Prediction and Intervention in Games	Jiayu Li, Hongyu Lu, Chenyang Wang, Weizhi Ma, Min Zhang, Xiangyu Zhao, Wei Qi, Yiqun Liu, Shaoping Ma			code	1
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions	Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan			code	1
MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches	Mike A. Merrill, Ge Zhang, Tim Althoff			code	1
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes	Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima			code	1
Faster and Generalized Temporal Triangle Counting, via Degeneracy Ordering	Noujan Pashanasangi, C. Seshadhri			code	1
Fast and Accurate Partial Fourier Transform for Time Series Data	Yongchan Park, JunGi Jang, U Kang			code	1
Enhancing SVMs with Problem Context Aware Pipeline	Zeyi Wen, Zhishang Zhou, Hanfeng Liu, Bingsheng He, Xia Li, Jian Chen			code	1
Forecasting Interaction Order on Temporal Graphs	Wenwen Xia, Yuchen Li, Jianwei Tian, Shenghong Li			code	1
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations	Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun			code	1
Model-Based Counterfactual Synthesizer for Interpretation	Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu			code	1
TopNet: Learning from Neural Topic Model to Generate Long Stories	Yazheng Yang, Boyuan Pan, Deng Cai, Huan Sun			code	1
Context-aware Outstanding Fact Mining from Knowledge Graphs	Yueji Yang, Yuchen Li, Panagiotis Karras, Anthony K. H. Tung			code	1
Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks	Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie			code	1
Data Poisoning Attacks Against Outcome Interpretations of Predictive Models	Hengtong Zhang, Jing Gao, Lu Su			code	1
Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups	Shengming Zhang, Hao Zhong, Zixuan Yuan, Hui Xiong			code	1
MPCSL - A Modular Pipeline for Causal Structure Learning	Johannes Huegle, Christopher Hagedorn, Michael Perscheid, Hasso Plattner			code	1
Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing	Rajarshee Mitra, Rhea Jain, Aditya Srikanth Veerubhotla, Manish Gupta			code	1
Improving the Information Disclosure in Mobility-on-Demand Systems	Yue Yang, Yuan Shi, Dejian Wang, Qisheng Chen, Lei Xu, Hanqian Li, Zhouyu Fu, Xin Li, Hao Zhang			code	1
Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network	Jaehyuk Yi, Jinkyoo Park			code	1
Graph Representation Learning: Foundations, Methods, Applications and Systems	Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu			code	1
From Tables to Knowledge: Recent Advances in Table Understanding	Jay Pujara, Pedro A. Szekely, Huan Sun, Muhao Chen			code	1
Mixed Method Development of Evaluation Metrics	Brian St. Thomas, Praveen Chandar, Christine Hosey, Fernando Diaz			code	1
Artificial Intelligence for Drug Discovery	Jian Tang, Fei Wang, Feixiong Cheng			code	1
Causal Inference from Network Data	Elena Zheleva, David Arbour			code	1
Data Science with Human in the Loop	Eduard C. Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic			code	1
Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning	Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi			code	1
Multi-Objective Recommendations	Yong Zheng, David (Xuejun) Wang			code	0
Risk Identification & Quantification in Complex Human-Natural Systems via Convergent Data Intensive Research	Toryn L. J. Schafer, Ryan M. McGranaghan, Mila Getmansky Sherman, MeiLing E. Feng, Olukunle O. Owolabi, Sean E. Ryan, MarieChristine Düker, Michael Jauch, David S. Matteson			code	0
Large-Scale Network Embedding in Apache Spark	Wenqing Lin			code	0
Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond	Daniel Jiang, Haipeng Luo, Chu Wang, Yingfei Wang			code	0
A Hyper-surface Arrangement Model of Ranking Distributions	Shizuo Kaji, Akira Horiguchi, Takuro Abe, Yohsuke Watanabe			code	0
A Color-blind 3-Approximation for Chromatic Correlation Clustering and Improved Heuristics	Nicolas Klodt, Lars Seifert, Arthur Zahn, Katrin Casel, Davis Issac, Tobias Friedrich			code	0
Efficient Collaborative Filtering via Data Augmentation and Step-size Optimization	Xuejun Liao, Patrick Koch, Shunping Huang, Yan Xu			code	0
Multi-Task Learning via Generalized Tensor Trace Norm	Yi Zhang, Yu Zhang, Wei Wang			code	0
Quantifying and Addressing Ranking Disparity in Human-Powered Data Acquisition	Sihem AmerYahia, Shady Elbassuoni, Ahmad Ghizzawi, Anas Hosami			code	0
Creating Recommender Systems Datasets in Scientific Fields	Márcia Barros, Francisco M. Couto, Matilde Pato, Pedro Ruas			code	0
Temporal Biased Streaming Submodular Optimization	Junzhou Zhao, Pinghui Wang, Chao Deng, Jing Tao			code	0
Meaning Error Rate: ASR domain-specific metric framework	Ludmila Gordeeva, Vasily Ershov, Oleg Gulyaev, Igor Kuralenok			code	0
Dip-based Deep Embedded Clustering with k-Estimation	Collin Leiber, Lena G. M. Bauer, Benjamin Schelling, Christian Böhm, Claudia Plant			code	0
Large-Scale Data-Driven Airline Market Influence Maximization	Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park			code	0
Local Algorithms for Estimating Effective Resistance	Pan Peng, Daniel Lopatta, Yuichi Yoshida, Gramoz Goranci			code	0
Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning	Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang			code	0
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits	Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey			code	0
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment	Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen			code	0
Interactive Audience Expansion On Large Scale Online Visitor Data	Gromit YeukYin Chan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Fan Du, Cláudio T. Silva, Juliana Freire			code	0
Knowledge-Guided Efficient Representation Learning for Biomedical Domain	Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang			code	0
Bootstrapping for Batch Active Sampling	Heinrich Jiang, Maya R. Gupta			code	0
Medical Entity Relation Verification with Large-scale Machine Reading Comprehension	Yuan Xia, Chunyu Wang, Zhenhui Shi, Jingbo Zhou, Chao Lu, Haifeng Huang, Hui Xiong			code	0
MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm	Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman			code	0
Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic	Preslav Nakov, Giovanni Da San Martino			code	0
A Visual Tour of Bias Mitigation Techniques for Word Representations	Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang			code	0
Physics-Guided AI for Large-Scale Spatiotemporal Data	Rose Yu, Paris Perdikaris, Anuj Karpatne			code	0
All You Need to Know to Build a Product Knowledge Graph	Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong			code	0
Simple and Automatic Distributed Machine Learning on Ray	Hao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica			code	0
Machine Learning in Finance	Senthil Kumar, Leman Akoglu, Nitesh V. Chawla, José A. RodríguezSerrano, Tanveer A. Faruquie, Saurabh Nagrecha			code	0
MLHat: Deployable Machine Learning for Security Defense	Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh			code	0
Machine Learning for Consumers and Markets	Wen Wang, Han Zhao, Dokyun Lee, George H. Chen			code	0
On the Nature of Data Science	Jeffrey D. Ullman			code	0
Safe Learning in Robotics	Claire J. Tomlin			code	0
Data Science for Assembly Engineering	Sharon C. Glotzer			code	0
Automated Mechanism Design for Strategic Classification: Abstract for KDD'21 Keynote Talk	Vincent Conitzer			code	0
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution	Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu			code	0
ProgRPGAN: Progressive GAN for Route Planning	TaoYang Fu, WangChien Lee			code	0
Differentiable Pattern Set Mining	Jonas Fischer, Jilles Vreeken			code	0
Towards Computing a Near-Maximum Weighted Independent Set on Massive Graphs	Jiewei Gu, Weiguo Zheng, Yuzheng Cai, Peng Peng			code	0
Pruning-Aware Merging for Efficient Multitask Inference	Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele			code	0
Metric Learning via Penalized Optimization	Hao Huang, Yanan Peng, Ting Gan, Weiping Tu, Ruiting Zhou, Sai Wu			code	0
Auditing for Diversity Using Representative Examples	Vijay Keswani, L. Elisa Celis			code	0
Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection	Bingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang, Weihong Deng			code	0
BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment	Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns			code	0
Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance	Neil G. Marchant, Benjamin I. P. Rubinstein			code	0
Redescription Model Mining	Felix I. Stamm, Martin Becker, Markus Strohmaier, Florian Lemmerich			code	0
Alphacore: Data Depth based Core Decomposition	Friedhelm Victor, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu			code	0
MapEmbed: Perfect Hashing with High Load Factor and Fast Update	Yuhan Wu, Zirui Liu, Xiang Yu, Jie Gui, Haochen Gan, Yuhao Han, Tao Li, Ori Rottenstreich, Tong Yang			code	0
Numerical Formula Recognition from Tables	Qingping Yang, Yixuan Cao, Hongwei Li, Ping Luo			code	0
Extremely Compact Non-local Representation Learning	Ansheng You, Xiangzeng Zhou, Yingya Zhang, Pan Pan, Yinghui Xu			code	0
Multi-graph Multi-label Learning with Dual-granularity Labeling	Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang			code	0
Web-Scale Generic Object Detection at Microsoft Bing	Stephen Xi Chen, Saurajit Mukherjee, Unmesh Phadke, Tingting Wang, Junwon Park, Ravi Theja Yada			code	0
FASER: Seismic Phase Identifier for Automated Monitoring	Farhan Asif Chowdhury, M. Ashraf Siddiquee, Glenn Eli Baker, Abdullah Mueen			code	0
Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies	Lev Faivishevsky, Adi Szeskin, Ashwin K. Muppalla, Ravid ShwartzZiv, Itamar BenAri, Ronen Laperdon, Benjamin Melloul, Tahi Hollander, Tom Hope, Amitai Armon			code	0
Addressing Non-Representative Surveys using Multiple Instance Learning	Yaniv Katz, Oded Vainas			code	0
Categorization of Financial Transactions in QuickBooks	Juan Liu, Lei Pei, Ying Sun, Heather Simpson, Jocelyn Lu, Nhung Ho			code	0
Clockwork: A Delay-Based Global Scheduling Framework for More Consistent Landing Times in the Data Warehouse	Martin ValdezVivas, Varun Sharma, Nick Stanisha, Shan Li, Luo Mi, Wei Jiang, Alex Kalinin, Josh Metzler			code	0
Representation Learning for Predicting Customer Orders	Tongwen Wu, Yu Yang, Yanzhi Li, Huiqiang Mao, Liming Li, Xiaoqing Wang, Yuming Deng			code	0
Software as a Medical Device: Regulating AI in Healthcare via Responsible AI	Muhammad Aurangzeb Ahmad, Steve Overman, Christine Allen, Vikas Kumar, Ankur Teredesai, Carly Eckert			code	0
Explainability for Natural Language Processing	Marina Danilevsky, Shipi Dhanorkar, Yunyao Li, Lucian Popa, Kun Qian, Anbang Xu			code	0
Challenges in KDD and ML for Sustainable Development	Laure BertiÉquille, David Dao, Stefano Ermon, Bedharta Goswami			code	0
Fairness and Explanation in Clustering and Outlier Detection	Ian Davidson			code	0
Real-time Event Detection for Emergency Response Tutorial	Alejandro Jaimes, Joel R. Tetreault			code	0
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining	Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han			code	0
Data Pricing and Data Asset Governance in the AI Era	Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu			code	0
Language Scaling: Applications, Challenges and Approaches	Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang			code	0
Deep Learning on Graphs for Natural Language Processing	Lingfei Wu, Yu Chen, Heng Ji, Bang Liu			code	0
Adversarial Robustness in Deep Learning: From Practices to Theories	Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang			code	0
Data Efficient Learning on Graphs	Chuxu Zhang, Jundong Li, Meng Jiang			code	0
Fragile Earth: Accelerating Progress towards Equitable Sustainability	Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan			code	0
AdKDD 2021	Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuangchih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan			code	0
ODD: Outlier Detection and Description	Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta			code	0
Bayesian Causal Inference for Real World Interactive Systems	Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang			code	0
Measures and Best Practices for Responsible AI	Sunipa Dev, Mehrnoosh Sameki, Jwala Dhamala, ChoJui Hsieh			code	0
VDS'21: Visualization in Data Science	Claudia Plant, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Junming Shao			code	0
Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA)	Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich			code	0