Alternatives and similar repositories for gedlib

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

• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆128Updated 3 months ago
• snap-stanford / neural-subgraph-learning-GNN
  ☆358Updated last year
• jacquesfize / GMatch4py
  A graph matching library for Python
  ☆207Updated last year
• priba / aproximated_ged
  Bunch of aproximated graph edit distance algorithms.
  ☆36Updated 7 years ago
• bgauzere / graph-lib
  C++ library for graph kernel and edit distance algorithm
  ☆15Updated 7 years ago
• nd7141 / graph_datasets
  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
  ☆89Updated 5 years ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆188Updated 3 years ago
• LijunChang / Graph_Edit_Distance
  Exact graph edit distance (GED) computation and verification
  ☆64Updated 3 years ago
• yunshengb / SimGNN
  ☆151Updated 5 years ago
• kfoynt / LocalGraphClustering
  ☆144Updated 4 years ago
• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆201Updated 4 years ago
• nkahmed / PGD
  A Parallel Graphlet Decomposition Library for Large Graphs
  ☆88Updated 6 years ago
• MiviaLab / vf3lib
  VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs
  ☆134Updated 2 weeks ago
• HKUST-KnowComp / NeuralSubgraphCounting
  Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"
  ☆54Updated last year
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆102Updated 4 years ago
• facebookresearch / SEAL_OGB
  An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
  ☆237Updated 2 years ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆104Updated 2 years ago
• gospodima / Extended-SimGNN
  A PyTorch Geometric implementation of SimGNN with some extensions.
  ☆61Updated 2 years ago
• Thinklab-SJTU / GENN-Astar
  Implementation of our CVPR 2021 paper "Combinatorial Learning of Graph Edit Distance via Dynamic Embedding".
  ☆28Updated 3 years ago
• TrustAGI-Lab / graph_datasets
  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
  ☆292Updated 3 years ago
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆95Updated 3 years ago
• shionhonda / gae-dgl
  Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
  ☆64Updated 2 years ago
• chrsmrrs / tudataset
  ☆96Updated 2 years ago
• betterenvi / gSpan
  Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
  ☆206Updated 4 years ago
• yunshengb / GraphSim
  ☆55Updated 5 years ago
• benedekrozemberczki / RolX
  An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
  ☆69Updated 2 years ago
• jdmoorman / uclasm
  Subgraph matching and isomorphisms in Python.
  ☆28Updated 2 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆353Updated 3 months ago
• chaoyanghe / bipartite-graph-learning
  bipartite-graph-learning
  ☆31Updated 5 years ago
• ysig / GraKeL
  A scikit-learn compatible library for graph kernels
  ☆627Updated last month