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.· Bioinformatics· 0 citations
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.· arXiv.org· 2 citations
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.· Proceedings of the Thirty-Fi...· 0 citations
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