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Seedgnn: Graph Neural Network For Supervised Seeded Graph Matching by bismarck22022005 is a document available to read on EtoBox.

What is Seedgnn: Graph Neural Network For Supervised Seeded Graph Matching about?

The paper presents SeedGNN, a novel supervised Graph Neural Network architecture designed for seeded graph matching, which aims to match unlabeled graphs using minimal seed nodes. Unlike previous semi-supervised approaches, SeedGNN learns from a training set to generalize knowledge for matching unseen graphs effectively with fewer seeds. Experimental results demonstrate that SeedGNN significantly outperforms existing algorithms in terms of accuracy and seed-size requirements, making it a promising solution

Author

bismarck22022005

Language

EN