Graph representation learning has re-emerged as a fascinating research topic due to the
successful application of graph convolutional networks (GCNs) for graphs and inspires …

Collective behavior is a widespread and important phenomenon among human society,
biological populations, swarm robots and multi-agents. The mathematical model shows that …

Normal operation of metros and buses is essential for sustainable urban development.
Studies have shown that a disaster occurring on one transport station leads to the cascading …

With the development of modern technology, numerous economic losses are incurred by
various spreading phenomena. Thus, it is of great significance to identify the initial sources …

With the prosperity of modern technology, propagation phenomena of diverse information
become universal nowadays. Nevertheless, spreading of malicious information will …

Influence maximization (IM) is a widely investigated issue in the study of social networks
because of its potential commercial and social value. The purpose of IM is to identify a group …

To explore and alleviate large-scale failures under urban rail transit network accidents,
cascading failures are usually investigated integrating the network topology and passenger …

The coupled map lattice (CML) model can present rich spatiotemporal dynamic behaviors of
complex systems, eg, it has been observed to have good adaptability in the cascading …

An urban metro network is susceptible to becoming vulnerable and difficult to recover
quickly in the face of an unexpected attack on account of the system's complexity and the …

The existing studies mainly focused on the cascading failure of the whole metro but rarely on
stations. In this paper, we map a metro station into a directed and hierarchical network, and …