Alternatives and similar repositories for ThinkMatch:

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

• lightaime / deep_gcns_torch
  Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
  ☆1,147Updated 2 years ago
• Thinklab-SJTU / pygmtools
  A Python Graph Matching Toolkit.
  ☆323Updated 3 months ago
• rusty1s / deep-graph-matching-consensus
  Implementation of "Deep Graph Matching Consensus" in PyTorch
  ☆262Updated 3 years ago
• lightaime / deep_gcns
  Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
  ☆631Updated 5 years ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆759Updated last year
• Lin-Yijie / Graph-Matching-Networks
  PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Mat…
  ☆301Updated 4 months ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆911Updated 7 years ago
• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆369Updated last year
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,753Updated last year
• Shen-Lab / GraphCL
  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…
  ☆572Updated 7 months ago
• dragen1860 / GCN-PyTorch
  Graph Convolution Network for PyTorch
  ☆399Updated 5 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,204Updated 3 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆471Updated 2 years ago
• Jiakui / awesome-gcn
  resources for graph convolutional networks （图卷积神经网络相关资源）
  ☆882Updated 5 years ago
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,639Updated last year
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆919Updated 7 months ago
• LYuhang / GNN_Review
  GNN综述阅读报告
  ☆895Updated 3 years ago
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆335Updated 3 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,238Updated last year
• HongyangGao / Graph-U-Nets
  Pytorch implementation of Graph U-Nets (ICML19)
  ☆527Updated 4 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆792Updated 2 years ago
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆2,973Updated last year
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆634Updated 2 years ago
• megvii-research / ML-GCN
  PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
  ☆1,428Updated 3 years ago
• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆661Updated 2 years ago
• RexYing / diffpool
  ☆486Updated 4 years ago
• yunshengb / SimGNN
  ☆148Updated 5 years ago
• iMoonLab / HGNN
  Hypergraph Neural Networks (AAAI 2019)
  ☆713Updated 2 years ago
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆462Updated 6 years ago
• dreamhomes / PyTorch-GNNs
  The implement of GNN based on Pytorch
  ☆198Updated last year