Author

Cong Shen

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Open access Jul 2026

Multiscale higher-order molecular simplicial complex embedding for drug response prediction

MolDr is a topological deep learning framework that represents molecules as multiscale simplicial complexes and propagates information across higher-order structures and unifies chemical topology and biological context within a single predictive model.

Cong Shen, Guan-Cen Lin, Chuan-Shen Hu et al. · Bioinform. · 0 citations

Preprint Aug 2026

SheafIQ: Sheaf-Theoretic Information Quantification of Vector Fields on Geometric Graphs

Vector fields on graph structures naturally arise in diverse biological and engineered systems, where vector-valued states are defined on the nodes and evolve through the network interactions. Existing methods primarily characterize either the graph topology or individual signals, but generally do not quantify how loca...

Cong Shen, Guan-Cen Lin, Chuan-Shen Hu · 0 citations