Alternatives and similar repositories for deep_gcns_torch

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

• lightaime / deep_gcns
  Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
  ☆630Updated 5 years ago
• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆370Updated last year
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,255Updated 2 years ago
• HongyangGao / Graph-U-Nets
  Pytorch implementation of Graph U-Nets (ICML19)
  ☆536Updated 4 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆916Updated 7 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
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,027Updated 2 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆472Updated 2 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆842Updated 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
• iMoonLab / HGNN
  Hypergraph Neural Networks (AAAI 2019)
  ☆754Updated 2 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,217Updated 3 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,022Updated 5 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,587Updated last year
• RexYing / diffpool
  ☆491Updated 4 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
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆766Updated last year
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆794Updated 2 years ago
• dragen1860 / GCN-PyTorch
  Graph Convolution Network for PyTorch
  ☆404Updated 6 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,259Updated last year
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆347Updated 4 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆641Updated 2 years ago
• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆670Updated 2 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,361Updated 3 years ago
• JiaxuanYou / graph-generation
  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
  ☆720Updated 3 years ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆1,014Updated last year
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆650Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,195Updated 2 months ago
• rusty1s / pytorch_cluster
  PyTorch Extension Library of Optimized Graph Cluster Algorithms
  ☆871Updated last month
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆326Updated 6 years ago