Skip to content

Latest commit

 

History

History
61 lines (48 loc) · 3.25 KB

hierarchical.md

File metadata and controls

61 lines (48 loc) · 3.25 KB
Raw

Hierarchical Models

2022

  • MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Design (CIKM 2022)
    • Benedek Rozemberczki, Anna Gogleva, Sebastian Nilsson, Gavin Edwards, Andriy Nikolov, Eliseo Papa
    • [Paper]

2021

  • Anti-cancer Drug Synergy Prediction in Understudied Tissues using Transfer Learning (Journal of the American Medical Informatics Association 2021)

    • Yejin Kim, Shuyu Zheng, Jing Tang, W. Jim Zheng, Zhao Li, Xiaoqian Jiang
    • [Paper]
    • [Python]

  • Mining Signaling Flow to Interpret Mechanisms of Synergy of Drug Combinations Using Deep Graph Neural Networks (BioArxiv 2021)

  • TranSynergy: Mechanism-Driven Interpretable Deep Neural Network for the Synergistic Prediction and pPathway Deconvolution of Drug Combinations (PLOS Computational Biology 2021)

  • Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction (WWW 2021)

    • Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu
    • [Paper]

  • MUFFIN: Multi-Scale Feature Fusion for Drug–Drug Interaction Prediction (Bioinformatics 2021)

    • Yujie Chen, Tengfei Ma, Xixi Yang, Jianmin Wang, Bosheng Song, Xiangxiang Zeng
    • [Paper]
    • [Python]

  • MTDDI: A Graph Convolutional Network Framework for Predicting Multi-Type Drug-Drug Interactions (BioArxiv 2021)

2020

  • GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions (IJCAI 2020)

  • Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction (ICML Graph Representation and Beyond 2020)

2019

  • Deep Learning for High-Order Drug-Drug Interaction Prediction (BCB 2019)

2018

  • Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)