tkipf / pygcnLinks
Graph Convolutional Networks in PyTorch
☆5,389Updated 5 years ago
Alternatives and similar repositories for pygcn
Users that are interested in pygcn are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,098Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,339Updated 2 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,474Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,646Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,636Updated last year
- links to conference publications in graph-based deep learning☆4,993Updated 2 months ago
- Paper Lists for Graph Neural Networks☆2,285Updated last year
- How Powerful are Graph Neural Networks?☆1,263Updated 4 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,719Updated 5 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,221Updated 8 months ago
- Graph Convolutional Networks (GCNs)☆919Updated 7 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,185Updated 3 years ago
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,634Updated 3 years ago
- Must-read papers on graph neural networks (GNN)☆16,670Updated 2 years ago
- Simple reference implementation of GraphSAGE.☆1,036Updated 5 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,172Updated 4 months ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,273Updated 2 years ago
- resources for graph convolutional networks (图卷积神经网络相关资源)☆908Updated 6 years ago
- Semi-supervised learning with graph embeddings☆942Updated 5 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,365Updated 5 years ago
- 《深入浅出图神经网络:GNN原理解析》配套代码☆1,905Updated 4 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,061Updated 7 months ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,813Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,863Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,702Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,065Updated 2 years ago
- PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.☆1,450Updated 3 years ago
- Heterogeneous Graph Neural Network☆1,189Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆674Updated 2 years ago
- GNN综述阅读报告☆924Updated 4 years ago