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GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs [article]

Maria Inês Silva, David Aparício, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro
2021 arXiv   pre-print
In this work, we propose GUDIE, a message-passing algorithm that extracts relevant context around seed nodes based on user-defined criteria.  ...  We design GUDIE for rich, labeled graphs, and expansions consider node and edge attributes. Preliminary results indicate that GUDIE expands to insightful areas while avoiding unimportant connections.  ...  Conclusion We propose GUDIE to extract node context from large, highly connected networks.  ... 
arXiv:2108.09200v1 fatcat:5cqsfgbbxrh5jpdnwbxb46un3y