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Wei Ju

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Open access Sep 2026

CrossMol: Cross-Modal Mask-Predict Pre-training For 3D Molecular Data.

MOTIVATION Self-supervised pre-training models for molecular data have demonstrated notable results across many downstream tasks. The inherent multimodal properties of molecules have also motivated efforts to capture information from different modalities. However, current multimodal molecular pre-training models usuall...

Kang-Jie Zheng, Jun-Wei Yang, Siyu Long et al. · 0 citations
Jul 2026

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction

This work systematically revisit transduction from the perspective of penalized likelihood estimation (PLE), showing that PLE with a KL-divergence anchor term naturally yields an adaptive shrinkage behavior between prior anchors and empirical estimates.

Jiazhen Huang, Zhiming Liu, Changhu Wang et al. · 2 citations
Conference Open access Sep 2026

HGOOD: Hypergraph-enhanced Graph Contrastive Learning for Graph Out-of-Distribution Detection

A Hypergraph-enhanced graph contrastive learning framework for Graph Out-Of-Distribution detection (termed HGOOD), which constructs two branches to hierarchically mine graph compact semantics in a comprehensive manner and introduces a cross-branch prototype contrast that aligns the captured graph patterns with their cr...

Xuan-Ting Fan, Chen-Yu Wang, Yue-Yue Gao et al. · 0 citations

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