Degree centrality algorithms for homogeneous multilayer networks

HR Pavel, A Santra, S Chakravarthy - arXiv preprint arXiv:2207.11661, 2022 - arxiv.org
Centrality measures for simple graphs/networks are well-defined and each has numerous
main-memory algorithms. However, for modeling complex data sets with multiple types of …

Degree Centrality Definition, and Its Computation for Homogeneous Multilayer Networks Using Heuristics-Based Algorithms

H Pavel, A Roy, A Santra, S Chakravarthy - International Joint Conference …, 2022 - Springer
Centrality metrics for simple graphs/networks are well-defined and each has numerous main-
memory algorithms. M ulti L ayer N etworks (MLNs) are becoming popular for modeling …

Video Sage: Video Recommendation Using Graph Convolution Neural Network

DT Chung, NS Duc, NV Nga - … of the 12th International Symposium on …, 2023 - dl.acm.org
Video recommendation has become an indispensable means of helping individuals
navigate through the vast expanse of videos and discover content that aligns with their …

Degree Centrality Algorithms for Homogeneous Multilayer Networks [Degree Centrality Algorithms for Homogeneous Multilayer Networks]

H Pavel, A Santra, S Chakravarthy - knowledge discovery and …, 2022 - par.nsf.gov
Centrality measures for simple graphs/networks are well-defined and each has numerous
main-memory algorithms. However, for modeling complex data sets with multiple types of …

[PDF][PDF] Multilayer Networks: For Modeling and Analysis of Big Data

A Santra, H Billah, S Chakravarthy - scitepress.org
In this position paper, we make a case for the appropriateness, utility, and effectiveness of
graph models for big data analysis focusing on Multilayer Networks (or MLNs)–a specific …

[PDF][PDF] MLN-Subdue: Substructure Discovery In Homogeneous Multilayer Networks

A Rai, A Roy, A Santra, S Chakravarthy - scitepress.org
Substructure discovery is a well-researched problem for graphs (both simple and attributed)
for knowledge discovery. Recently, multilayer networks (or MLNs) have been shown to be …