Beyond scaleup: Knowledge‐aware parsimony learning from deep networks

Q Yao, Y Zhang, Y Wang, N Yin, J Kwok, Q Yang - 2025 - Wiley Online Library
The brute‐force scaleup of training datasets, learnable parameters and computation power,
has become a prevalent strategy for develo** more robust learning models. However, due …

Neural Symbolic Regression of Complex Network Dynamics

H Qiu, S Liu, Q Yao - arxiv preprint arxiv:2410.11185, 2024 - arxiv.org
Complex networks describe important structures in nature and society, composed of nodes
and the edges that connect them. The evolution of these networks is typically described by …

Data driven discovery of human mobility models

H Guo, W Zhang, J Yang, Y Hou, L Dong… - arxiv preprint arxiv …, 2025 - arxiv.org
Human mobility is a fundamental aspect of social behavior, with broad applications in
transportation, urban planning, and epidemic modeling. However, for decades new …

Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression

J Hu, J Cui, B Yang - arxiv preprint arxiv:2411.06833, 2024 - arxiv.org
Discovering governing equations of complex network dynamics is a fundamental challenge
in contemporary science with rich data, which can uncover the mysterious patterns and …