hazdzz / awesome-gnnLinks
A list for GNNs and related works.
☆93Updated 3 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)☆115Updated 2 months ago
- ☆135Updated last year
- The PyTorch version of ChebNet.☆35Updated 6 months ago
- MagNet graph convolutional network☆37Updated last year
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆82Updated 7 months ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆110Updated 4 years ago
- ☆47Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆103Updated 3 years ago
- ☆55Updated 3 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆97Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆257Updated 3 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆38Updated 2 years ago
- ☆54Updated 2 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆93Updated 6 months ago
- Dynamic Graph Benchmark☆80Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 9 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆82Updated 6 months ago
- A collection of resources on attention-based graph neural networks☆76Updated last year
- ☆100Updated last year
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆35Updated 2 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆256Updated 6 months ago
- [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"☆138Updated 7 months ago
- Code for our paper "Attending to Graph Transformers"☆87Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆125Updated last year
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆62Updated 3 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- ☆134Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago