A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
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Updated
Jan 12, 2023 - Python
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"
A Python/Cython package for graph edit distances and graph matching
Quantifying Pairwise Chemical Similarity for Polymers
A Jupyter notebook for a project centered around 'Group Recommendation Systems (GRS)' utilizing the 'GcPp' clustering approach.
Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover’s Distance
Build a supergraph of a dataset
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