Information cascade prediction of complex networks based on physics-informed graph convolutional network

• Published in: New journal of physics Vol. 26; no. 1; pp. 13031 - 13044
• Main Authors: Yu, Dingguo, Zhou, Yijie, Zhang, Suiyu, Li, Wenbing, Small, Michael, Shang, Ke-ke
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.01.2024
• Subjects: Artificial neural networks; complex networks; Deep learning; Diffusion rate; graph convolutional network; information cascade prediction; Machine learning; Multilayer perceptrons; Multilayers; Neural networks; Performance evaluation; Physics; physics-informed network; Propagation

Cascade prediction aims to estimate the popularity of information diffusion in complex networks, which is beneficial to many applications from identifying viral marketing to fake news propagation in social media, estimating the scientific impact (citations) of a new publication, and so on. How to ef...