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
  ☆5,246Updated 4 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,292Updated 2 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,475Updated 6 months ago
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆13,698Updated last week
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆2,967Updated last year
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,373Updated 2 years ago
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,347Updated 4 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks
  ☆2,553Updated last year
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,664Updated 5 years ago
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,872Updated 2 months ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,238Updated last year
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆792Updated 3 years ago
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,225Updated last year
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆899Updated 4 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆911Updated 7 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,204Updated 3 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,005Updated 4 years ago
• pyg-team / pytorch_geometric
  Graph Neural Network Library for PyTorch
  ☆21,888Updated this week
• locuslab / TCN
  Sequence modeling benchmarks and temporal convolutional networks
  ☆4,244Updated 2 years ago
• Jiakui / awesome-gcn
  resources for graph convolutional networks （图卷积神经网络相关资源）
  ☆882Updated 5 years ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,770Updated 11 months ago
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,028Updated 5 years ago
• benedekrozemberczki / pytorch_geometric_temporal
  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
  ☆2,727Updated last week
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,781Updated last year
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,706Updated last year
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,247Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,971Updated 2 months ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,160Updated last year
• lightaime / deep_gcns_torch
  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
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,076Updated 4 years ago