jacquesfize / ged4py

Related projects: ⓘ

• priba / aproximated_ged
  Bunch of aproximated graph edit distance algorithms.
  ☆34Updated 6 years ago
• bgauzere / graph-lib
  C++ library for graph kernel and edit distance algorithm
  ☆16Updated 6 years ago
• Chen-Cai-OSU / LDP
  LDP for graph classification
  ☆22Updated 4 years ago
• haakondr / graph-edit-distance-python
  ☆49Updated 7 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated last year
• jacquesfize / GMatch4py
  A graph matching library for Python
  ☆191Updated 4 months ago
• dbblumenthal / gedlib
  An easily extensible C++ library for (suboptimally) computing the graph edit distance between attributed graphs.
  ☆55Updated last year
• priba / siamese_ged
  Learning Graph Distances with Message PassingNeural Networks
  ☆13Updated last month
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆82Updated 6 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆60Updated 3 years ago
• GemsLab / REGAL
  Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
  ☆92Updated 3 years ago
• Nate1874 / StructPool
  The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
  ☆57Updated 4 years ago
• annamalai-nr / subgraph2vec_tf
  This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
  ☆26Updated 6 years ago
• dzambon / graph-matching-toolkit
  ☆22Updated 4 years ago
• ermongroup / graphite
  Code for Graphite iterative graph generation
  ☆56Updated 5 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆90Updated 5 years ago
• Hanjun-Dai / steady_state_embedding
  Learning Steady-States of Iterative Algorithms over Graphs
  ☆39Updated 6 years ago
• VoVAllen / diffpool
  ☆37Updated 5 years ago
• chentingpc / gfn
  Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"
  ☆51Updated 4 years ago
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆85Updated 2 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆77Updated 2 weeks ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆101Updated last year
• LijunChang / Graph_Edit_Distance
  Exact graph edit distance (GED) computation and verification
  ☆52Updated 2 years ago
• GraphZoom-iclr / GraphZoom
  ☆14Updated last year
• KelestZ / CondGen
  Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.
  ☆53Updated 5 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆39Updated last year
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆123Updated 6 months ago
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆94Updated 3 years ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆180Updated 2 years ago
• tvayer / PSCN
  A python implementation of Patchy-San Convolutional Network for Graph
  ☆41Updated 3 years ago