AI RESEARCH
PLACE: Prompt Learning for Attributed Community Search in Large Graphs
arXiv CS.AI
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ArXi:2507.05311v2 Announce Type: replace-cross In this paper, we propose PLACE (Prompt Learning for Attributed Community Search), an innovative graph prompt learning framework for ACS. Enlightened by prompt-tuning in Natural Language Processing (NLP), where learnable prompt tokens are inserted to contextualize NLP queries, PLACE integrates structural and learnable prompt tokens into the graph as a query-dependent refinement mechanism, forming a prompt-augmented graph.