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
  ☆558Updated 3 years ago
• LYuhang / GNN_Review
  GNN综述阅读报告
  ☆895Updated 3 years ago
• FighterLYL / GraphNeuralNetwork
  《深入浅出图神经网络：GNN原理解析》配套代码
  ☆1,793Updated 4 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆806Updated 2 years ago
• CrawlScript / tf_geometric
  Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
  ☆500Updated last month
• Jiakui / awesome-gcn
  resources for graph convolutional networks （图卷积神经网络相关资源）
  ☆887Updated 5 years ago
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,755Updated last year
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆640Updated last year
• dragen1860 / GCN-PyTorch
  Graph Convolution Network for PyTorch
  ☆400Updated 5 years ago
• SivilTaram / Graph-Neural-Network-Note
  A blog for understanding graph neural network
  ☆418Updated 4 years ago
• dreamhomes / PyTorch-GNNs
  The implement of GNN based on Pytorch
  ☆199Updated last year
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,116Updated 4 years ago
• Cantoria / dynamic-graph-papers
  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
  ☆438Updated last year
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆760Updated last year
• chuxuzhang / KDD2019_HetGNN
  code of HetGNN
  ☆397Updated 5 years ago
• nakaizura / Source-Code-Notebook
  关于一些经典论文源码的逐行中文笔记
  ☆591Updated 2 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,165Updated last year
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,647Updated last year
• xchadesi / GraphNeuralNetwork
  The learning of the GraphNeuralNetwork
  ☆154Updated 5 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆913Updated 7 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,205Updated 3 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆901Updated 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
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆502Updated 3 years ago
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆543Updated 3 years ago
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆2,979Updated last year
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,562Updated last year
• xinyi-code / Graph-Learning
  Graph model implementation
  ☆139Updated 2 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,008Updated 4 years ago
• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆439Updated 4 years ago