3 papers
cs.AI2025
Physics-Informed High-order Graph Dynamics Identification Learning for Predicting Complex Networks Long-term Dynamics
Bicheng Wang, Junping Wang, Yibo Xue
Learning complex network dynamics is fundamental to understanding, modelling and controlling real-world complex systems. There are two main problems in the task of predicting the d…
cs.LG2025
Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
Bicheng Wang, Junping Wang, Yibo Xue
Industrial chain plays an increasingly important role in the sustainable development of national economy. However, as a typical complex network, data-driven deep learning is still…
cs.AI2025
Industrial brain: a human-like autonomous neuro-symbolic cognitive decision-making system
Junping Wang, Bicheng Wang, Yibo Xuea +1
Resilience non-equilibrium measurement, the ability to maintain fundamental functionality amidst failures and errors, is crucial for scientific management and engineering applicati…