Framework enhances community search efficiency in large graphs, highlighting active learning strategies.
Community search (CS) is a fundamental problem in graph mining, where the goal is to find communities that are relevant to a given query. Traditional CS methods often struggle with scalability and effectiveness, especially when dealing with large graphs or complex queries.
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Zhou et al. (2025) studied this question.
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