7 papers
TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems
Rui Sun, Jie Ding, Chenghua Gong +5
Optimizing communication topology in LLM-based multi-agent system is critical for enabling collective intelligence. Existing methods mainly rely on spatio-temporal interaction para…
Interpretable Relational Inference with LLM-Guided Symbolic Dynamics Modeling
Xiaoxiao Liang, Juyuan Zhang, Liming Pan +1
Inferring latent interaction structures from observed dynamics is a fundamental inverse problem in many-body interacting systems. Most neural approaches rely on black-box surrogate…
Advancing Opinion Dynamics Modeling with Neural Diffusion-Convection-Reaction Equation
Chenghua Gong, Yihang Jiang, Hao Li +5
Advanced opinion dynamics modeling is vital for deciphering social behavior, emphasizing its role in mitigating polarization and securing cyberspace. To synergize mechanistic inter…
Revealing Chaotic Dependence and Degree-Structure Mechanisms in Optimal Pinning Control of Complex Networks
Qingyang Liu, Tianlong Fan, Liming Pan +1
Identifying an optimal set of driver nodes to achieve synchronization via pinning control is a fundamental challenge in complex network science, limited by computational intractabi…
Epi-Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks
Rui Sun, Chenghua Gong, Tianjun Gu +5
Advancing epidemic dynamics forecasting is vital for targeted interventions and safeguarding public health. Current approaches mainly fall into two categories: mechanism-based and…
EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting
Chenghua Gong, Rui Sun, Yuhao Zheng +4
Advanced epidemic forecasting is critical for enabling precision containment strategies, highlighting its strategic importance for public health security. While recent advances in…