activity
20202026
most citedEvolution of cooperation and competition in multilayer networks

11 citations · 11 across the 22 of their papers we have counts for

collaborators

30 papers

cs.LG2026

Topology-induced Operators Reveal Complementary Graph Representations without Training

Meng Qin, Jinqiang Cui, Hongwei Zheng +2

Graph representation learning has largely focused on designing increasingly sophisticated models to transform graph topology into vector representations, or embeddings. However, th…

physics.soc-ph2026

Control of Harmful Information Spreading on Adaptive Higher-Order Networks via Group Dissolution

Longzhao Liu, Zhihao Han, Xingru Chen +4

Curbing harmful information contagion remains a critical challenge, motivating platform-level interventions such as group dissolution to sever transmission chains. However, in prac…

cs.HC2026

Toward Annotation-Efficient Continuous Emotion Arousal Quantification via Group-Level EEG Dynamic Neural Synchrony

Guandong Pan, Yaqian Yang, Shi Chen +4

Continuous emotional arousal quantification remains bottlenecked by time-consuming and labor-intensive manual annotation. This work investigates group-level EEG dynamic neural sync…

physics.soc-ph2026

Immunization on Temporal Higher-Order Networks

Zhihao Han, Longzhao Liu, Xin Wang +3

Network immunization is a powerful tool for controlling contagion processes ranging from infectious diseases to misinformation diffusion. While prior works have focused on pairwise…

physics.soc-ph2026

Identifying vulnerable nodes for hypergraph dismantling via higher-order competition dynamics

Yajing Hao, Longzhao Liu, Xin Wang +3

Network dismantling aims to identify a node removal sequence that can rapidly destroy network connectivity, which is an important problem for understanding the structural fragility…

physics.soc-ph2026

Emergent dilemma and periodic oscillation in the nonlinear interplay between epidemic and behavior

Longzhao Liu, Hongwei Zheng, Yajing Hao +3

Human behaviors, particularly non-pharmaceutical interventions (NPIs), are dynamically coupled with epidemic spreading. While prior studies mainly assume a linear interplay, real-w…