3 papers
q-bio.MN2025
Tracking large chemical reaction networks and rare events by neural networks
Jiayu Weng, Xinyi Zhu, Jing Liu +3
Chemical reaction networks are widely used to model stochastic dynamics in chemical kinetics, systems biology and epidemiology. Solving the chemical master equation that governs th…
physics.soc-ph2025
Universal Network Generation Model via Exponential Probabilistic Growth and Vari-linear Preferential Attachment
Jinhu Ren, Linyuan Lü
Generated networks are widely used in network-based research as a convenient simulation environment. Generating universal networks that more accurately reflect real-world patterns…
physics.soc-ph2024
Uncovering key predictors of high-growth firms via explainable machine learning
Yiwei Huang, Shuqi Xu, Linyuan Lü +2
Predicting high-growth firms has attracted increasing interest from the technological forecasting and machine learning communities. Most existing studies primarily utilize financia…