tkipf / gcn
Implementation of Graph Convolutional Networks in TensorFlow
☆7,251Updated 2 years ago
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☆5,298Updated 4 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,514Updated 9 months ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,347Updated 3 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,686Updated 5 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,355Updated 4 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,582Updated last year
- links to conference publications in graph-based deep learning☆4,912Updated this week
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,027Updated last year
- Build Graph Nets in Tensorflow☆5,383Updated 2 years ago
- Paper Lists for Graph Neural Networks☆2,256Updated last year
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆13,865Updated 2 months ago
- Implementation and experiments of graph embedding algorithms.☆3,798Updated last year
- DeepWalk - Deep Learning for Graphs☆2,726Updated last year
- Must-read papers on graph neural networks (GNN)☆16,385Updated last year
- Semi-supervised learning with graph embeddings☆918Updated 5 years ago
- How Powerful are Graph Neural Networks?☆1,216Updated 3 years ago
- Simple reference implementation of GraphSAGE.☆1,018Updated 4 years ago
- Graph Convolutional Networks (GCNs)☆914Updated 7 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,254Updated 2 years ago
- Graph Neural Network Library for PyTorch☆22,284Updated this week
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,523Updated 4 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,998Updated 4 months ago
- Keras implementation of Graph Convolutional Networks☆790Updated 4 years ago
- Generate embeddings from large-scale graph-structured data.☆3,411Updated last year
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,787Updated 2 years ago
- resources for graph convolutional networks (图卷积神经网络相关资源)☆894Updated 5 years ago
- Papers on Graph neural network(GNN)☆764Updated last year
- 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
- 《深入浅出图神经网络:GNN原理解析》配套代码☆1,822Updated 4 years ago
- Sample Code for Gated Graph Neural Networks☆1,028Updated 5 years ago