XiaShan1227/SimGNN
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation [WSDM-2019]
This tool helps researchers and data scientists quickly compare two complex network structures, like social networks or molecular graphs, to see how similar they are. You input two graphs, and it outputs a similarity score between them. It is designed for those who need to understand relationships and differences between various graph-based data.
No commits in the last 6 months.
Use this if you need to rapidly assess the similarity between numerous graphs without relying on computationally intensive traditional methods.
Not ideal if your graphs are extremely small or simple, where traditional graph comparison algorithms might suffice with less overhead.
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Language
Python
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Last pushed
Apr 18, 2024
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