tkipf / gcn
Implementation of Graph Convolutional Networks in TensorFlow
☆7,229Updated last year
Alternatives and similar repositories for gcn:
Users that are interested in gcn are comparing it to the libraries listed below
- Graph Convolutional Networks in PyTorch☆5,273Updated 4 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,493Updated 7 months ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,319Updated 2 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,352Updated 4 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,675Updated 5 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,571Updated last year
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆2,993Updated last year
- Build Graph Nets in Tensorflow☆5,383Updated 2 years ago
- links to conference publications in graph-based deep learning☆4,889Updated 3 months ago
- Paper Lists for Graph Neural Networks☆2,245Updated last year
- Semi-supervised learning with graph embeddings☆906Updated 5 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆13,786Updated last month
- Graph Neural Network Library for PyTorch☆22,063Updated this week
- Graph Convolutional Networks (GCNs)☆914Updated 7 years ago
- Must-read papers on graph neural networks (GNN)☆16,302Updated last year
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,787Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,989Updated 3 months ago
- Keras implementation of Graph Convolutional Networks☆792Updated 3 years ago
- DeepWalk - Deep Learning for Graphs☆2,711Updated last year
- Simple reference implementation of GraphSAGE.☆1,011Updated 4 years ago
- Implementation and experiments of graph embedding algorithms.☆3,782Updated last year
- How Powerful are Graph Neural Networks?☆1,209Updated 3 years ago
- Sample Code for Gated Graph Neural Networks☆1,028Updated 5 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,253Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,167Updated last year
- Generate embeddings from large-scale graph-structured data.☆3,402Updated last year
- resources for graph convolutional networks (图卷积神经网络相关资源)☆889Updated 5 years ago
- 《深入浅出图神经网络:GNN原理解析》配套代码☆1,805Updated 4 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,762Updated last year
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,526Updated 4 years ago