Alternatives and similar repositories for awesome-gcn:

Users that are interested in awesome-gcn are comparing it to the libraries listed below

• wangyouze / GNN-algorithms
  图神经网络相关算法详述及实现
  ☆869Updated 4 years ago
• LYuhang / GNN_Review
  GNN综述阅读报告
  ☆899Updated 3 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆914Updated 7 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
• 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
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆764Updated 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
  ☆1,159Updated 2 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆813Updated 2 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,251Updated last year
• dragen1860 / GCN-PyTorch
  Graph Convolution Network for PyTorch
  ☆403Updated 5 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,340Updated 3 years ago
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,129Updated 4 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,216Updated 3 years ago
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,769Updated last year
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆3,022Updated last year
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆916Updated 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
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,016Updated 4 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆841Updated 3 years ago
• joeat1 / GNN_note
  图神经网络整理
  ☆569Updated 3 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,254Updated 2 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,187Updated 3 weeks ago
• SivilTaram / Graph-Neural-Network-Note
  A blog for understanding graph neural network
  ☆435Updated 5 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆524Updated 4 years ago
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆503Updated 3 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆470Updated 2 years ago
• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆371Updated last year
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,580Updated last year
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆318Updated 4 years ago