hazdzz / awesome-gnnLinks
A list for GNNs and related works.
☆95Updated 2 weeks ago
Alternatives and similar repositories for awesome-gnn
Users that are interested in awesome-gnn are comparing it to the libraries listed below
Sorting:
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 3 months ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆40Updated last year
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆103Updated 3 weeks ago
- ☆47Updated 3 years ago
- A collection of resources on attention-based graph neural networks☆76Updated last year
- Transformer-based Spectral Graph Neural Networks☆86Updated 9 months ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆110Updated 4 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆84Updated 7 months ago
- ☆135Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆46Updated 11 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆262Updated 7 months ago
- [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"☆140Updated 8 months ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆142Updated 5 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆160Updated last year
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆60Updated 4 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆127Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆100Updated last year
- Dynamic Graph Benchmark☆81Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- MagNet graph convolutional network☆39Updated last year
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- ☆101Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 8 months ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆62Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆89Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago