Alternatives and similar repositories for gcn

Users that are interested in gcn are comparing it to the libraries listed below

• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,389Updated 5 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,477Updated 3 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,638Updated last year
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,719Updated 5 years ago
• diegoantognini / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆3,102Updated 2 years ago
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,365Updated 5 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,648Updated 2 years ago
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,994Updated last week
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,286Updated last year
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,807Updated 2 years ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,391Updated 3 years ago
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,679Updated 2 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆919Updated 7 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆942Updated 5 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,266Updated 4 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,273Updated 2 years ago
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆14,188Updated 4 months ago
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,027Updated 6 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆793Updated 4 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,038Updated 5 years ago
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,746Updated 2 years ago
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,085Updated 5 years ago
• FighterLYL / GraphNeuralNetwork
  《深入浅出图神经网络：GNN原理解析》配套代码
  ☆1,905Updated 4 years ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,834Updated last year
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,525Updated 5 years ago
• pyg-team / pytorch_geometric
  Graph Neural Network Library for PyTorch
  ☆23,280Updated last week
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,061Updated 7 months ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,221Updated 8 months ago
• Jiakui / awesome-gcn
  resources for graph convolutional networks （图卷积神经网络相关资源）
  ☆908Updated 6 years ago
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,705Updated last year