Multi‐scale graph capsule with influence attention for information cascades prediction
Abstract Information cascade size prediction is one of the primary challenges for
understanding the diffusion of information. Traditional feature‐based methods heavily rely …
understanding the diffusion of information. Traditional feature‐based methods heavily rely …
Modeling transitivity in local structure graph models
E Casleton, DJ Nordman, MS Kaiser - Sankhya A, 2021 - Springer
Abstract Local Structure Graph Models (LSGMs) describe network data by modeling, and
thereby controlling, the local structure of networks in a direct and interpretable manner …
thereby controlling, the local structure of networks in a direct and interpretable manner …
Uniqueness of Markov random fields with higher-order dependencies
D Kepa-Maksymowicz, Y Kozitsky - arXiv preprint arXiv:2304.11369, 2023 - arxiv.org
Markov random fields on a countable set $\sf V $ are studied. They are canonically set by a
specification $\gamma $, for which the dependence structure is defined by a pre …
specification $\gamma $, for which the dependence structure is defined by a pre …
A local structure graph model for network analysis
ET Casleton - 2014 - search.proquest.com
The statistical analysis of networks is a popular research topic with ever widening
applications. In this work, we introduce a new class of models for network analysis, called …
applications. In this work, we introduce a new class of models for network analysis, called …