Alternatives and similar repositories for MGMN

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

• cszhangzhen / H2MN
  H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
  ☆59Updated 3 years ago
• yunshengb / SimGNN
  ☆151Updated 5 years ago
• Shen-Lab / GraphCL_Automated
  [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…
  ☆113Updated 10 months ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆174Updated last year
• thunlp / AGE
  Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
  ☆114Updated 2 years ago
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆117Updated 2 years ago
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆45Updated 3 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆329Updated 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…
  ☆306Updated 9 months ago
• kavehhassani / mvgrl
  ☆267Updated 3 years ago
• yunshengb / GraphSim
  ☆54Updated 5 years ago
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆80Updated 3 years ago
• bdy9527 / FAGCN
  ☆97Updated 4 years ago
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆65Updated last year
• yunshengb / UGraphEmb
  ☆49Updated 6 years ago
• THUDM / GRAND
  Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
  ☆210Updated 2 years ago
• flyingdoog / PGExplainer
  Parameterized Explainer for Graph Neural Network
  ☆136Updated last year
• mori97 / JKNet-dgl
  A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)
  ☆38Updated 6 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆58Updated 4 years ago
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆193Updated last year
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆89Updated 3 years ago
• liun-online / HeCo
  The source code of HeCo
  ☆166Updated 3 years ago
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆59Updated 4 years ago
• TianxiangZhao / GraphSmote
  Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
  ☆164Updated last year
• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆200Updated 4 years ago
• gospodima / Extended-SimGNN
  A PyTorch Geometric implementation of SimGNN with some extensions.
  ☆61Updated 2 years ago
• dongkwan-kim / SuperGAT
  [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
  ☆158Updated 2 years ago
• ICT-GIMLab / SeHGNN
  ☆115Updated last year
• ChengtaiCao / Meta-GNN
  ☆63Updated 2 years ago
• yuwvandy / G2GNN
  ☆46Updated 2 years ago