Alternatives and similar repositories for GMatch4py

Users that are interested in GMatch4py are comparing it to the libraries listed below

• snap-stanford / neural-subgraph-learning-GNN
  ☆366Updated last year
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆128Updated 8 months ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆102Updated 2 years ago
• rusty1s / deep-graph-matching-consensus
  Implementation of "Deep Graph Matching Consensus" in PyTorch
  ☆270Updated 4 years ago
• ysig / GraKeL
  A scikit-learn compatible library for graph kernels
  ☆636Updated 6 months ago
• yunshengb / SimGNN
  ☆152Updated 6 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆86Updated last year
• TrustAGI-Lab / graph_datasets
  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
  ☆296Updated 3 years ago
• snap-stanford / GraphRNN
  ☆432Updated 6 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆198Updated 5 years ago
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆344Updated 4 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆402Updated 5 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆356Updated 7 months ago
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆400Updated last year
• chrsmrrs / tudataset
  ☆98Updated 2 years ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆190Updated 3 years ago
• FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
  Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…
  ☆277Updated 10 months ago
• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆203Updated 4 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated 2 years ago
• kfoynt / LocalGraphClustering
  ☆144Updated 4 years ago
• RexYing / diffpool
  ☆504Updated 5 years ago
• snap-stanford / distance-encoding
  Distance Encoding for GNN Design
  ☆188Updated 4 years ago
• jacquesfize / ged4py
  Implementation of a graph edit distance in python
  ☆34Updated 6 years ago
• annamalai-nr / graph2vec_tf
  This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
  ☆157Updated 8 years ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆135Updated 5 years ago
• sunfanyunn / InfoGraph
  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …
  ☆324Updated 2 years ago
• betterenvi / gSpan
  Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
  ☆214Updated 5 years ago
• priba / aproximated_ged
  Bunch of aproximated graph edit distance algorithms.
  ☆36Updated 7 years ago
• 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…
  ☆319Updated last year
• lrjconan / GRAN
  Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
  ☆479Updated 2 years ago