Curvature-enhanced graph convolutional network for biomolecular interaction prediction

Curvature-enhanced graph convolutional network for biomolecular interaction prediction

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...

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書目詳細資料
Main Authors:	Shen, Cong, Ding, Pingjian, Wee, Junjie, Bi, Jialin, Luo, Jiawei, Xia, Kelin
其他作者:	School of Physical and Mathematical Sciences
格式:	Article
語言:	English
出版:	2024
主題:	Mathematical Sciences Ollivier-Ricci curvature Graph convolutional network
在線閱讀:	https://hdl.handle.net/10356/174927
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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