Alternatives and similar repositories for graph-edit-distance-python:

Users that are interested in graph-edit-distance-python are comparing it to the libraries listed below

• jacquesfize / ged4py
  Implementation of a graph edit distance in python
  ☆33Updated 5 years ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆104Updated last year
• priba / aproximated_ged
  Bunch of aproximated graph edit distance algorithms.
  ☆34Updated 6 years ago
• jacquesfize / GMatch4py
  A graph matching library for Python
  ☆203Updated last year
• BorgwardtLab / graph-kernels
  Graph kernels
  ☆56Updated 3 years ago
• bgauzere / graph-lib
  C++ library for graph kernel and edit distance algorithm
  ☆15Updated 6 years ago
• GemsLab / REGAL
  Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
  ☆95Updated 4 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• afansi / multiscalegnn
  Implementation of the paper "Community Detection with Graph Neural Networks", [1] in Pytorch
  ☆37Updated 7 years ago
• dbblumenthal / gedlib
  An easily extensible C++ library for (suboptimally) computing the graph edit distance between attributed graphs.
  ☆60Updated last year
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆61Updated 3 years ago
• snap-stanford / graphwave
  ☆172Updated 6 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆124Updated last year
• ShelsonCao / DNGR
  Source Code of DNGR
  ☆42Updated 8 years ago
• TuftsBCB / Walker
  Python implementation of Kohler et al.'s random walk with restart
  ☆29Updated 6 years ago
• snash4 / GAT2VEC
  embedding attributed graphs
  ☆57Updated 3 years ago
• yunshengb / graph-matching-toolkit
  ☆13Updated 6 years ago
• xgfs / node2vec-c
  node2vec implementation in C++
  ☆53Updated 4 years ago
• annamalai-nr / subgraph2vec_gensim
  Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted…
  ☆42Updated 7 years ago
• dzambon / graph-matching-toolkit
  ☆24Updated 4 years ago
• andompesta / ComE
  Implementation of ComE algorithm
  ☆59Updated 2 years ago
• HongyangGao / LGCN
  Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18
  ☆47Updated 6 years ago
• annamalai-nr / subgraph2vec_tf
  This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
  ☆26Updated 7 years ago
• linhongseba / Temporal-Network-Embedding
  The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots
  ☆64Updated 7 years ago
• microsoft / graph-partition-neural-network-samples
  Sample Code for Graph Partition Neural Networks
  ☆94Updated 6 years ago
• MdAsifKhan / DNGR-Keras
  Learning graph representations using autoencoder
  ☆51Updated 8 years ago
• divelab / lgcn
  ☆136Updated 4 years ago
• annamalai-nr / graph2vec_tf
  This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
  ☆156Updated 7 years ago
• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆18Updated 5 years ago
• Caselles / graph_kernels
  Four of the main kernels on graphs Python implementation.
  ☆16Updated 8 years ago