Generic multimodal spatially graph network for spatially embedded network representation learning
Sign Up to like & getrecommendations! Published in 2025 at "Applied Network Science"
DOI: 10.1007/s41109-025-00751-6
Abstract: Spatially embedded networks (SENs) represent a special type of complex graph, whose topologies are constrained by the networks’ embedded spatial environments. The graph representation of such networks is thereby influenced by the embedded spatial features… read more here.
Keywords: multimodal spatially; spatially embedded; representation; network representation ... See more keywords
A nature inspired modularity function for unsupervised learning involving spatially embedded networks
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-39180-8
Abstract: The quality of network clustering is often measured in terms of a commonly used metric known as “modularity”. Modularity compares the clusters found in a network to those present in a random graph (a “null… read more here.
Keywords: null model; spatially embedded; nature inspired; inspired modularity ... See more keywords
Modeling and Vulnerability Analysis of Spatially Embedded Heterogeneous Cyber-Physical Systems With Functional Dependency
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2021.3114332
Abstract: Modern infrastructures are always spatially embedded and coupled with auxiliary information systems to form heterogeneous cyber-physical systems (CPSs). In this paper, considering the spatial information and overlap of components, a heterogeneous cyber-physical system model with… read more here.
Keywords: system; heterogeneous cyber; spatially embedded; physical systems ... See more keywords