hazdzz / awesome-gnn
A list for GNNs and related works.
☆91Updated 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
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆114Updated this week
- Gradient gating (ICLR 2023)☆53Updated last year
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆101Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆86Updated 3 years ago
- ☆131Updated last year
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆108Updated 4 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆75Updated 4 months ago
- Transformer-based Spectral Graph Neural Networks☆79Updated 5 months ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆61Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆113Updated 2 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆50Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 11 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 7 months ago
- MagNet graph convolutional network☆37Updated last year
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆94Updated last year
- The PyTorch version of ChebNet.☆35Updated 4 months ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆121Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆37Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 9 months ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆247Updated 3 months ago
- ☆155Updated 3 years ago
- ☆110Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆54Updated last year
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- ☆99Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- ☆42Updated 3 years ago
- ☆46Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆135Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆122Updated 2 years ago