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heterophily

Here are 12 public repositories matching this topic...

gongchenghua / Papers-Graphs-with-Heterophily

A Survey of Learning from Graphs with Heterophily

deep-learning survey gnns self-supervised-learning contrastive-learning gnn-learning heterophily

Updated Oct 3, 2024

alexfanjn / Graph-Neural-Networks-With-Heterophily

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

awesome datasets graph-data graph-neural-networks homophily heterophily

Updated Sep 24, 2024

tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily

Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily

self-supervised-learning contrastive-learning heterophily graph-contrastive-learning graph-self-supervised-learning heterophily-graph

Updated Nov 2, 2023

SitaoLuan / ACM-GNN

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

graph pytorch filterbank graph-convolutional-networks geometric-deep-learning graph-neural-networks graph-representation-learning homophily heterophily

Updated Sep 27, 2023
Python

emalgorithm / directed-graph-neural-network

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

machine-learning deep-learning graphs directed-graphs graph-neural-networks heterophily

Updated Jun 7, 2023
Python

tk-rusch / gradientgating

Gradient gating (ICLR 2023)

pytorch message-passing gcn iclr graphsage graph-neural-networks gat pytorch-geometric heterophily oversmoothing iclr2023

Updated May 11, 2023
Python

SmartData-Polito / GCNH

Implementation of GCNH, a GNN for heterophilous graphs described in the paper "GCNH: A Simple Method For Representation Learning On Heterophilous Graphs", IJCNN 2023

graph-neural-networks graph-representation-learning heterophily

Updated Apr 27, 2023
Python

DSep / Virtual-Nodes

Neighbourhood standardization as a means to improve GNN performance heterophilic datasets.

python pytorch gnn heterophily

Updated Mar 24, 2023
Python

Udom-L / Homophily-on-human-network

Homophily on Human Interaction via. Stochastic Block Model network representing the likelihood of gathering of homophily people contributing to human connection with common likeliness by social status.

network-analysis stochastic-block-model homophily heterophily

Updated Nov 11, 2022
Jupyter Notebook

GemsLab / HeteRobust

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

graph graph-convolutional-networks robustness adversarial-attacks heterophily

Updated Jul 24, 2022
Python

Xzh0u / GBK-GNN

Code for GBK-GNN (paper accepted by WWW2022)

deep-learning graph-neural-networks homophily heterophily

Updated Jun 16, 2022
Python

GemsLab / H2GCN

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

graphs signac node-classification graph-neural-networks neurips-2020 heterophily

Updated Apr 20, 2022
Python

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