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Xuyang Li

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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

A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series

This work empirically verify that the weak formulation, with a proper choice of test function and integration domain, effectively filters noisy data and explains why a weak form loss function is analogous to fitting a model to filtered data and provides a practical way to parameterize the weak form.

Xuyang Li, J. Harlim, R. Maulik · 1 citation · ⚡1

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