Topic: "graph-edit-distance"
benedekrozemberczki/SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Language: Python - Size: 2.44 MB - Last synced at: 27 days ago - Pushed at: over 2 years ago - Stars: 794 - Forks: 150
jajupmochi/graphkit-learn
A python package for graph kernels, graph edit distances, and graph pre-image problem.
Language: Jupyter Notebook - Size: 436 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 126 - Forks: 18
gospodima/Extended-SimGNN
A PyTorch Geometric implementation of SimGNN with some extensions.
Language: Python - Size: 777 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 30 - Forks: 11
ryderling/MGMN
Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"
Language: Python - Size: 20 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 23 - Forks: 5
CheshireCat12/graph-matching-core
A Python/Cython package for graph edit distances and graph matching
Language: Cython - Size: 1.54 MB - Last synced at: 20 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 2
olsenlabmit/Polymer-Graph-Similarity
Quantifying Pairwise Chemical Similarity for Polymers
Language: Jupyter Notebook - Size: 5.57 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1
RozaAbolghasemi/Group_Recommendation_Syatem_GcPp_clustering
A Jupyter notebook for a project centered around 'Group Recommendation Systems (GRS)' utilizing the 'GcPp' clustering approach.
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0
olsenlabmit/Polymer-Ensemble-Similarity
Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover’s Distance
Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1
michaelflppv/ged-approximation
This is a repository of the code used for the experimental work in my Bachelor thesis on Approximation Algorithms for Graph Edit Distance (GED). It includes implementations, benchmarking scripts, and evaluation methods for comparing GED approximation algorithms with exact computations.
Language: C++ - Size: 206 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
