A scikit-learn compatible library for graph kernels
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Updated
Sep 17, 2026 - Jupyter Notebook
A scikit-learn compatible library for graph kernels
Graph similarity algorithms based on NetworkX.
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
A library for finding the maximum common induced subgraph between two graphs and compute their similarity (correlation).
Graphdatabase Matching Framework for NEO4J
DRESS: A Continuous Framework for Structural Graph Refinement
Personal Research Project for creating algorithms for graph similarity
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