Reservoir computing dissection and visualization based on directed network embedding
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.02.029
Abstract: Abstract The reservoir computing (RC) has recently gained considerable attention in practice and many methods have been developed to study its internal mechanism. However, the specific role played by the reservoir nodes of RC in… read more here.
Keywords: reservoir; reservoir computing; network embedding; prediction ... See more keywords
Measuring Systemic Risk Contagion Effect of the Banking Industry in China: A Directed Network Approach
Sign Up to like & getrecommendations! Published in 2020 at "Emerging Markets Finance and Trade"
DOI: 10.1080/1540496x.2019.1711368
Abstract: ABSTRACT To capture the impact of investor sentiment on risk contagion of financial institutions and potential tail risks caused by financial network structure, this paper uses a directed network approach to measure systemic risk contagion… read more here.
Keywords: systemic risk; risk contagion; risk; network ... See more keywords
Diverse phase transitions in optimized directed network models with distinct inward and outward node weights.
Sign Up to like & getrecommendations! Published in 2023 at "Physical review. E"
DOI: 10.1103/physreve.107.034312
Abstract: We consider growing directed network models that aim at minimizing the weighted connection expenses while at the same time favoring other important network properties such as weighted local node degrees. We employed statistical mechanics methods… read more here.
Keywords: node; node weights; directed network; network models ... See more keywords
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2021.1004308
Abstract: A large-scale dynamically weighted directed network (DWDN) involving numerous entities and massive dynamic interaction is an essential data source in many big-data-related applications, like in a terminal interaction pattern analysis system (TIPAS). It can be… read more here.
Keywords: pid incorporated; dynamically weighted; directed network; factorization tensors ... See more keywords
A Stepwise Multivariate Granger Causality Method for Constructing Hierarchical Directed Brain Functional Network.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3202535
Abstract: The directed brain functional network construction gives us the new insights into the relationships between brain regions from the causality point of view. The Granger causality analysis is one of the powerful methods to model… read more here.
Keywords: network; causality; brain; directed network ... See more keywords
A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3132503
Abstract: A dynamically weighted directed network (DWDN) is frequently encountered in various big data-related applications like a terminal interaction pattern analysis system (TIPAS) concerned in this study. It consists of large-scale dynamic interactions among numerous nodes.… read more here.
Keywords: weighted directed; large scale; hdi; dynamically weighted ... See more keywords