4 papers
SheafIQ: Sheaf-Theoretic Information Quantification of Vector Fields on Geometric Graphs
Cong Shen, Guancen Lin, Chuan-Shen Hu
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 i…
Following the Diagnostic Trace: Visual Cognition-guided Cooperative Network for Chest X-Ray Diagnosis
Shaoxuan Wu, Jingkun Chen, Chong Ma +3
Computer-aided diagnosis (CAD) has significantly advanced automated chest X-ray diagnosis but remains isolated from clinical workflows and lacks reliable decision support and inter…
Torsion Graph Neural Networks
Cong Shen, Xiang Liu, Jiawei Luo +1
Geometric deep learning (GDL) models have demonstrated a great potential for the analysis of non-Euclidian data. They are developed to incorporate the geometric and topological inf…
Molecular geometric deep learning
Cong Shen, Jiawei Luo, Kelin Xia
Geometric deep learning (GDL) has demonstrated huge power and enormous potential in molecular data analysis. However, a great challenge still remains for highly efficient molecular…