Alternatives and similar repositories for pygcn

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

• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,263Updated 2 years ago
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆3,035Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,361Updated 3 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,587Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,520Updated 9 months ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,258Updated last year
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,687Updated 5 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,255Updated 2 years ago
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆13,884Updated 3 months ago
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,359Updated 4 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆916Updated 7 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,217Updated 3 years ago
• lightaime / deep_gcns_torch
  Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
  ☆1,160Updated 2 years ago
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,926Updated last week
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,022Updated 5 years ago
• Jiakui / awesome-gcn
  resources for graph convolutional networks （图卷积神经网络相关资源）
  ☆898Updated 5 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆920Updated 5 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,195Updated 2 months ago
• megvii-research / ML-GCN
  PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
  ☆1,441Updated 3 years ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,008Updated 3 weeks ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,806Updated last year
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,776Updated last year
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,385Updated 2 years ago
• LYuhang / GNN_Review
  GNN综述阅读报告
  ☆902Updated 3 years ago
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,417Updated last year
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆650Updated last year
• pyg-team / pytorch_geometric
  Graph Neural Network Library for PyTorch
  ☆22,395Updated this week
• RexYing / gnn-model-explainer
  gnn explainer
  ☆957Updated 9 months ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆791Updated 4 years ago
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,027Updated 2 years ago