gongchenghua / Papers-Graphs-with-HeterophilyLinks
A Survey of Learning from Graphs with Heterophily
☆140Updated 3 months ago
Alternatives and similar repositories for Papers-Graphs-with-Heterophily
Users that are interested in Papers-Graphs-with-Heterophily are comparing it to the libraries listed below
Sorting:
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆256Updated 6 months ago
- ☆176Updated last year
- Awesome literature on imbalanced learning on graphs☆76Updated 8 months ago
- ☆80Updated 6 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆216Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- A Unified Library for Deep Graph Clustering☆110Updated last week
- ☆113Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆82Updated 6 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆116Updated 2 years ago
- A list of recent papers about Link Prediction.☆89Updated 2 weeks ago
- The source code of HeCo☆165Updated 3 years ago
- ☆33Updated 2 years ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆39Updated 7 months ago
- ☆16Updated last year
- [Neurips 2024] Disentangled Graph Homophily☆25Updated 4 months ago
- Benchmark☆98Updated last year
- ☆18Updated 4 months ago
- ☆35Updated 6 months ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆120Updated 11 months ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆171Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆155Updated last week
- TransGNN, SIGIR 2024☆53Updated 10 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆80Updated last year
- Must-read papers on graph foundation models (GFMs)☆318Updated last week
- ☆60Updated 2 years ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆44Updated last year
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆249Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆37Updated last year