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Inductive Attributed Community Search: to Learn Communities across Graphs

Summary: IACS: an inductive encoder–decoder framework for attributed community search that learns a shared prior across tasks to generalize to unseen, heterogeneous graphs. Training–adaptation–inference enables few-shot adaptation to new graphs, yielding ~29%/25.6% F1 gains over transductive baselines. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13483
Venue
VLDB
Year
2024
Pagerank
5.3018378e-05
Overall Rank
9,634 | 33.05%
DOI
10.14778/3675034.3675048

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Rank Citing Paper Year Venue Pagerank
10,656 A Comprehensive Survey and Experimental Study of Learning-based Community Search 2025 VLDB 5.1725247e-05
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