Papers by JianwenMa JianwenMa

1 papers
MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering (2025.findings-acl)

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Challenge: Existing approaches to cluster graphs with GNNs are limited due to label scarcity.
Approach: They propose to leverage large language models to enhance text-attributed graph clustering by using three LLMs as ranking-based supervision signals.
Outcome: The proposed approach generates reliable guidance using collaboration of three LLM-based agents as ranking-based supervision signals.

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