output
20142026
most citedAccurate ranking of influential spreaders in networks based on dynamically asymmetric link-impact

50 citations

Showing 2019Show all

5 papers · 1 filter

physics.soc-ph2019★ 16 cited

Learning epidemic threshold in complex networks by Convolutional Neural Network

Qi Ni, Jie Kang, Ming Tang +2

Deep learning has taken part in the competition since not long ago to learn and identify phase transitions in physical systems such as many body quantum systems, whose underlying l…

physics.soc-ph2019★ 40 cited

Machine learning dynamical phase transitions in complex networks

Qi Ni, Ming Tang, Ying Liu +1

In recent years, machine learning has been adopted to complex networks, but most existing works concern about the structural properties. To use machine learning to detect phase tra…

math.DS2019

Answering two open problems on Banks theorem for non-autonomous dynamical systems

Xinxing Wu, Guanrong Chen

This paper shows that (1) there exists a topologically transitive NADS having two disjoint invariant periodic orbits with dense periodic points, which is finitely generated but not…

math.DS2019

New homoclinic orbits for Hamiltonian systems with asymptotically quadratic growth at infinity

Dong-Lun Wu, Xiang Yu

In this paper, we study the existence and multiplicity of homoclinic solutions for following Hamiltonian systems with asymptotically quadratic nonlinearities at infinity \begin{eqn…

math.DS2019

Relationship among several types of sensitivity in general semi-flows

Xinxing Wu, Xu Zhang

In this paper, we show that there exists a monoid, on which neither the syndetic property nor the dual syndetic property holds, and there exists a strongly mixing semi-flow with th…