TrustAGI-Lab / Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
☆2,256Updated last year
Alternatives and similar repositories for Awesome-Graph-Neural-Networks:
Users that are interested in Awesome-Graph-Neural-Networks are comparing it to the libraries listed below
- links to conference publications in graph-based deep learning☆4,912Updated this week
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,582Updated last year
- Graph Convolutional Networks in PyTorch☆5,298Updated 4 years ago
- How Powerful are Graph Neural Networks?☆1,216Updated 3 years ago
- Papers on Graph neural network(GNN)☆764Updated last year
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,027Updated last year
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,347Updated 3 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,191Updated last month
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,770Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,795Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,998Updated 4 months ago
- resources for graph convolutional networks (图卷积神经网络相关资源)☆894Updated 5 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,254Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,668Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,514Updated 9 months ago
- Graph Convolutional Networks (GCNs)☆914Updated 7 years ago
- Simple reference implementation of GraphSAGE.☆1,018Updated 4 years ago
- A comprehensive collection of recent papers on graph deep learning☆3,084Updated 4 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,251Updated 2 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,787Updated 2 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,159Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆842Updated 3 years ago
- TensorFlow implementations of Graph Neural Networks☆919Updated 2 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆799Updated 2 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆647Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,024Updated 2 years ago
- 《深入浅出图神经网络:GNN原理解析》配套代码☆1,822Updated 4 years ago
- Must-read papers on graph neural networks (GNN)☆16,385Updated last year
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆814Updated 2 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,355Updated 4 years ago