Papers by Die Hu

1 papers
Semantic Reshuffling with LLM and Heterogeneous Graph Auto-Encoder for Enhanced Rumor Detection (2025.coling-main)

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Challenge: Current methods struggle against complex propagation influenced by bots, coordinated accounts, and echo chambers, which fragment information and increase risks of misjudgments.
Approach: They propose a framework that integrates metapath-based rumor reconstruction and narrative reordering to detect rumors.
Outcome: The proposed model outperforms existing methods and is highly accurate and robust.

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