Popular GitHub Repositories for Heterophily

This repository contains the resources on graph neural network (GNN) considering heterophily.

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

Dir-GNN is a machine learning model that enables learning on directed graphs.

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

Gradient gating (ICLR 2023)

Code for GBK-GNN (paper accepted by WWW2022)

How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)