Alternatives and similar repositories for Graph-Matching-Networks

Users that are interested in Graph-Matching-Networks are comparing it to the libraries listed below

• ryderling / MGMN
  Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"
  ☆46Updated 4 years ago
• yunshengb / SimGNN
  ☆152Updated 6 years ago
• cszhangzhen / H2MN
  H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
  ☆59Updated 3 years ago
• rusty1s / deep-graph-matching-consensus
  Implementation of "Deep Graph Matching Consensus" in PyTorch
  ☆270Updated 4 years ago
• Shen-Lab / GraphCL
  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…
  ☆620Updated last year
• jwzhanggy / Graph-Bert
  Source code of Graph-Bert
  ☆506Updated 2 years ago
• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆202Updated 4 years ago
• gospodima / Extended-SimGNN
  A PyTorch Geometric implementation of SimGNN with some extensions.
  ☆64Updated 2 years ago
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆808Updated 2 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆476Updated 3 years ago
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆959Updated last year
• SXKDZ / awesome-self-supervised-learning-for-graphs
  A curated list for awesome self-supervised learning for graphs.
  ☆388Updated 3 years ago
• acbull / GPT-GNN
  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
  ☆497Updated last year
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆344Updated 4 years ago
• sunfanyunn / InfoGraph
  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …
  ☆324Updated 2 years ago
• bingzhewei / geom-gcn
  ☆302Updated 3 years ago
• Indradyumna / ISONET
  ☆27Updated last year
• kavehhassani / mvgrl
  ☆276Updated 3 years ago
• yunshengb / GraphSim
  ☆56Updated 5 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆890Updated 2 years ago
• BorgwardtLab / SAT
  Official Pytorch code for Structure-Aware Transformer.
  ☆261Updated 2 years ago
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆358Updated 5 years ago
• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆678Updated 3 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆341Updated last year
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆661Updated 3 years ago
• THUDM / GraphMAE
  GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
  ☆571Updated 2 years ago
• THUDM / GCC
  GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
  ☆333Updated 2 years ago
• nghiahhnguyen / Graph-Matching-Networks-PyTorch
  This is a **reimplementation** of the ICLR 2019 paper "Graph Matching Networks for Learning the Similarity of Graph Structured Objects" (…
  ☆23Updated 5 years ago
• leftthomas / DGCNN
  A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
  ☆65Updated 2 years ago
• snap-stanford / neural-subgraph-learning-GNN
  ☆365Updated last year