Determinable and interpretable network representation for link prediction

• Published in: Scientific reports Vol. 12; no. 1; pp. 17579 - 14
• Main Author: Deng, Yue
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 20.10.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/1046; 639/705/258; 639/766/259; 639/766/530/2801; Artificial intelligence; Automation; Developmental stages; Hirsch index; Humanities and Social Sciences; Learning algorithms; Machine Learning; Mathematical models; Mathematicians; multidisciplinary; Physics; Science; Science (multidisciplinary); Scientists

As an intuitive description of complex physical, social, or brain systems, complex networks have fascinated scientists for decades. Recently, to abstract a network’s topological and dynamical attributes, network representation has been a prevalent technique, which can map a network or substructures...