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Jia-He Lan

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#machine learning Conference Dec 2025

CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?

CAT is proposed, the first Context-Aware GNN-based Trust prediction model that supports trust dynamicity and accurately represents real-world heterogeneity, and introduces a new notion of meta-paths to extract contextual features.

Jie Wang, Zheng Yan, Jia-He Lan et al. · 2 citations · ⚡1
#machine learning Preprint Sep 2026

LLM4Trust: Exploring the Capabilities of Large Language Models for Trust Evaluation

LLM4Trust is proposed, the first benchmark framework that systematically explores the capabilities of Large Language Models for trust evaluation and proposes a defense mechanism and batch inference to improve the robustness and efficiency of LLM-based trust evaluation.

Jie Wang, Yan-Bo Sun, Zheng Yan et al. · 0 citations

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