Curvature-enhanced graph convolutional network for biomolecular interaction prediction

• Main Authors: Shen, Cong, Ding, Pingjian, Wee, Junjie, Bi, Jialin, Luo, Jiawei, Xia, Kelin
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2024
• Subjects: Mathematical Sciences; Ollivier-Ricci curvature; Graph convolutional network
• Online Access: https://hdl.handle.net/10356/174927
• Institution: Nanyang Technological University

Geometric deep learning has demonstrated a great potential in non-Euclidean data analysis. The incorporation of geometric insights into learning architecture is vital to its success. Here we propose a curvature-enhanced graph convolutional network (CGCN) for biomolecular interaction prediction. Our...