3 papers
physics.soc-ph2026
Effective Graph Resistance as Cumulative Heat Dissipation
Xiangrong Wang, Xin Yu, Zongze Wu +1
Effective graph resistance is a fundamental structural metric in network science, widely used to quantify global connectivity, compare network architectures, and assess robustness…
physics.soc-ph2025
Predicting the critical behavior of complex dynamic systems via learning the governing mechanisms
Xiangrong Wang, Dan Lu, Zongze Wu +4
Critical points separate distinct dynamical regimes of complex systems, often delimiting functional or macroscopic phases in which the system operates. However, the long-term predi…
cs.LG2024
Saliency-Aware Regularized Graph Neural Network
Wenjie Pei, Weina Xu, Zongze Wu +4
The crux of graph classification lies in the effective representation learning for the entire graph. Typical graph neural networks focus on modeling the local dependencies when agg…