Paper list for the survey "Combating Misinformation in the Age of LLMs: Opportunities and Challenges" and the initiative "LLMs Meet Misinformation", accepted by AI Magazine 2024

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey"

This repository collects an extensive list of awesome papers about Story Generation / Storytelling, primarily focusing on the era of Large Language Models (LLMs).

Documentation for Enron data.

Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms

A guide for all DGX users

Multimodal Graph Learning: how to encode multiple multimodal neighbors with their relations into LLMs

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source librarie…

This repository aims to provide comprehensive paper lists of work on fairness and diversity in recommender systems.

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

TopoTrans: Optimal Transport meets Topological Data Analysis

Implementation of the WWW'23 paper "Toward Degree Bias in Embedding-Based Knowledge Graph Completion"

An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486

Code for our paper 'Dynamically Expandable Graph Convolution for Streaming Recommendation' accepted by the Web Conference (WWW) 2023.

Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation

This repository is the implementation of our proposed Comprehensive Fairness Algorithm (CFA) and our two explanation fairness evaluation metrics proposed in "Fairness and Explainability: Bridging t…

MolKGNN is a deep learning model for predicting biological activity or molecular properties. It features in 1. SE(3)-invariance 2. conformation-invariance 3. interpretability. MolKGNN uses a novel …

This repository includes the implementation of CAGCN and the experiments on link prediction/node classification

Graph Structured Neural Network

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

A curated model zoo for recommendation tasks

[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"