Data-driven Link Prediction over Graphical Models
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3137157
Abstract: The positive link prediction (PLP) problem is formulated in a system identification framework: we consider dynamic graphical models for auto-regressive moving-average (ARMA) Gaussian random processes. For the identification of the parameters, we model our network… read more here.
Keywords: data driven; graphical models; link prediction; driven link ... See more keywords
Data-Driven Link Screening for Increasing Network Predictability
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2955650
Abstract: Prediction methods applied to digital network data offer powerful capabilities that have radically affected a host of industries and services. Specifically, numerous works have shown that the use of network information to predict focal node… read more here.
Keywords: increasing network; link screening; driven link; network predictability ... See more keywords