alexfanjn / Graph-Neural-Networks-With-HeterophilyLinks
This repository contains the resources on graph neural network (GNN) considering heterophily.
☆259Updated 6 months ago
Alternatives and similar repositories for Graph-Neural-Networks-With-Heterophily
Users that are interested in Graph-Neural-Networks-With-Heterophily are comparing it to the libraries listed below
Sorting:
- A Survey of Learning from Graphs with Heterophily☆142Updated 3 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆251Updated last year
- Awesome literature on imbalanced learning on graphs☆76Updated 9 months ago
- A curated list of graph data augmentation papers.☆312Updated last year
- Papers about out-of-distribution generalization on graphs.☆166Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆83Updated 7 months ago
- Accompanied repositories for our paper Graph foundation model☆207Updated 7 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆71Updated last month
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 2 years ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆196Updated 5 months ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆198Updated last week
- ☆177Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆158Updated last week
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆221Updated last year
- ☆135Updated last year
- The source code of HeCo☆166Updated 3 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 7 months ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆126Updated last year
- ☆114Updated last year
- A list of recent papers about Link Prediction.☆91Updated last week
- ☆135Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆200Updated 4 years ago
- Must-read papers on graph foundation models (GFMs)☆323Updated 2 weeks ago
- An Empirical Evaluation of Temporal Graph Benchmark☆33Updated last year
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆271Updated 4 months ago
- A list for GNNs and related works.☆95Updated last month
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆171Updated last year
- Schedule for learning on graphs seminar☆109Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated last year