graph-edit-distance

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

A python package for graph kernels, graph edit distances, and graph pre-image problem.

A PyTorch Geometric implementation of SimGNN with some extensions.

Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"

Quantifying Pairwise Chemical Similarity for Polymers

A Python/Cython package for graph edit distances and graph matching

A Jupyter notebook for a project centered around 'Group Recommendation Systems (GRS)' utilizing the 'GcPp' clustering approach.

[AAAI 2025] GraSP: Simple yet Effective Graph Similarity Predictions

Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover’s Distance

Build a supergraph of a dataset