Whole-graph representation learning for the classification of signed networks
Graphs are ubiquitous for modeling complex systems involving structured data and
relationships. Consequently, graph representation learning, which aims to automatically …
relationships. Consequently, graph representation learning, which aims to automatically …
[PDF][PDF] BridgeCut: A new algorithm for balanced partitioning of signed networks
M Ehsani, R Mansouri - preprint, In Review, 2023 - researchgate.net
Abstract Background and Objectives: Structural analysis of signed networks is an important
issue with many applications in the field of complex networks. In this context, balance theory …
issue with many applications in the field of complex networks. In this context, balance theory …
[PDF][PDF] Combinatorial Clustering Engineering in Communications: Preliminary Survey. Preprint. November 6, 2024
MS Levin - 2024 - researchgate.net
The article addresses applications of combinatorial clustering engineering approach in
communication networks including design of layered network architecture, routing …
communication networks including design of layered network architecture, routing …
[PDF][PDF] Combinatorial Clustering Engineering in Communications: Preliminary Survey.
MS Levin - 2024 - iitp.ru
The article addresses applications of combinatorial clustering engineering approach in
communication networks including design of layered network architecture, routing …
communication networks including design of layered network architecture, routing …