Must-read papers on graph neural networks (GNN)

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022

A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)

Strategies for Pre-training Graph Neural Networks

contrastive decoding

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

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

Benchmarks for Graph Machine Learning in Brain Connectomics

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network