tkipf / pygcn
Graph Convolutional Networks in PyTorch
☆5,247Updated 4 years ago
Alternatives and similar repositories for pygcn:
Users that are interested in pygcn are comparing it to the libraries listed below
- Implementation of Graph Convolutional Networks in TensorFlow☆7,213Updated last year
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆2,973Updated last year
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,292Updated 2 years ago
- Repository for benchmarking graph neural networks☆2,555Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,475Updated 6 months ago
- links to conference publications in graph-based deep learning☆4,876Updated 2 months ago
- Paper Lists for Graph Neural Networks☆2,238Updated last year
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆13,698Updated last week
- How Powerful are Graph Neural Networks?☆1,204Updated 3 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,664Updated 5 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,161Updated last year
- Graph Convolutional Networks (GCNs)☆911Updated 7 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,147Updated 2 years ago
- resources for graph convolutional networks (图卷积神经网络相关资源)☆882Updated 5 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,972Updated 2 months ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,247Updated last year
- Semi-supervised learning with graph embeddings☆899Updated 4 years ago
- Must-read papers on graph neural networks (GNN)☆16,229Updated last year
- Simple reference implementation of GraphSAGE.☆1,005Updated 4 years ago
- 《深入浅出图神经网络:GNN原理解析》配套代码☆1,787Updated 3 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,347Updated 4 years ago
- Graph Neural Network Library for PyTorch☆21,893Updated this week
- Implementation and experiments of graph embedding algorithms.☆3,770Updated 11 months ago
- PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.☆1,428Updated 3 years ago
- GNN综述阅读报告☆895Updated 3 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,753Updated last year
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆636Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,639Updated last year
- gnn explainer☆925Updated 5 months ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆836Updated 3 years ago