Alternatives and similar repositories for GNN-algorithms:

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

• LYuhang / GNN_Review
  GNN综述阅读报告
  ☆899Updated 3 years ago
• joeat1 / GNN_note
  图神经网络整理
  ☆570Updated 3 years ago
• FighterLYL / GraphNeuralNetwork
  《深入浅出图神经网络：GNN原理解析》配套代码
  ☆1,818Updated 4 years ago
• Jiakui / awesome-gcn
  resources for graph convolutional networks （图卷积神经网络相关资源）
  ☆893Updated 5 years ago
• CrawlScript / tf_geometric
  Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
  ☆502Updated 3 months ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆646Updated last year
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆814Updated 2 years ago
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,129Updated 4 years ago
• dreamhomes / PyTorch-GNNs
  The implement of GNN based on Pytorch
  ☆200Updated last year
• dragen1860 / GCN-PyTorch
  Graph Convolution Network for PyTorch
  ☆404Updated 5 years ago
• Cantoria / dynamic-graph-papers
  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
  ☆441Updated last year
• nakaizura / Source-Code-Notebook
  关于一些经典论文源码的逐行中文笔记
  ☆594Updated 2 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,216Updated 3 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,188Updated 3 weeks ago
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆3,024Updated last year
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,771Updated last year
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆914Updated 7 years ago
• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆440Updated 5 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆916Updated 5 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,016Updated 4 years ago
• chuxuzhang / KDD2019_HetGNN
  code of HetGNN
  ☆400Updated 5 years ago
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆486Updated 4 years ago
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,021Updated 2 years ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆764Updated last year
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆560Updated 3 years ago
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆503Updated 3 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
• lightaime / deep_gcns_torch
  Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
  ☆1,159Updated 2 years ago
• SivilTaram / Graph-Neural-Network-Note
  A blog for understanding graph neural network
  ☆437Updated 5 years ago
• xinyi-code / Graph-Learning
  Graph model implementation
  ☆141Updated 2 years ago