heterophily topic
H2GCN
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
gradientgating
Gradient gating (ICLR 2023)
directed-graph-neural-network
Dir-GNN is a machine learning model that enables learning on directed graphs.
ACM-GNN
NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework
Awesome-Graph-Contrastive-Learning-with-Heterophily
Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
Graph-Neural-Networks-With-Heterophily
This repository contains the resources on graph neural network (GNN) considering heterophily.
Awesome-Survey-Graphs-with-Heterophily
A Survey of Learning from Graphs with Heterophily