Alternatives and similar repositories for GNN-algorithms:

Users that are interested in GNN-algorithms are comparing it to the libraries listed below

• joeat1 / GNN_note
  图神经网络整理
  ☆564Updated 3 years ago
• LYuhang / GNN_Review
  GNN综述阅读报告
  ☆896Updated 3 years ago
• FighterLYL / GraphNeuralNetwork
  《深入浅出图神经网络：GNN原理解析》配套代码
  ☆1,813Updated 4 years ago
• CrawlScript / tf_geometric
  Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
  ☆501Updated 2 months ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆811Updated 2 years ago
• Jiakui / awesome-gcn
  resources for graph convolutional networks （图卷积神经网络相关资源）
  ☆890Updated 5 years ago
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,124Updated 4 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆641Updated last year
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,765Updated last year
• SivilTaram / Graph-Neural-Network-Note
  A blog for understanding graph neural network
  ☆426Updated 5 years ago
• dragen1860 / GCN-PyTorch
  Graph Convolution Network for PyTorch
  ☆400Updated 5 years ago
• chuxuzhang / KDD2019_HetGNN
  code of HetGNN
  ☆400Updated 5 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,212Updated 3 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆911Updated 5 years ago
• dreamhomes / PyTorch-GNNs
  The implement of GNN based on Pytorch
  ☆200Updated last year
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆762Updated last year
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,654Updated last year
• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆440Updated 5 years ago
• BUPT-GAMMA / OpenHGNN
  This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
  ☆902Updated 2 months ago
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆3,001Updated last year
• Cantoria / dynamic-graph-papers
  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
  ☆439Updated last year
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,577Updated last year
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,012Updated 2 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆914Updated 7 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
  ☆1,156Updated 2 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆799Updated 2 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆821Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,173Updated last week
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆484Updated 4 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆471Updated 2 years ago