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 …
Identifying hidden coalitions in the US House of Representatives by optimally partitioning signed networks based on generalized balance
In network science, identifying optimal partitions of a signed network into internally cohesive
and mutually divisive clusters based on generalized balance theory is computationally …
and mutually divisive clusters based on generalized balance theory is computationally …
Efficient enumeration of the optimal solutions to the correlation clustering problem
According to the structural balance theory, a signed graph is considered structurally
balanced when it can be partitioned into a number of modules such that positive and …
balanced when it can be partitioned into a number of modules such that positive and …
Correlation clustering problem under mediation
Z Alès, C Engelbeen… - INFORMS Journal on …, 2024 - pubsonline.informs.org
In the context of community detection, correlation clustering (CC) provides a measure of
balance for social networks as well as a tool to explore their structures. However, CC does …
balance for social networks as well as a tool to explore their structures. However, CC does …
Combining Graph and Text to Model Conversations: An Application to Online Abuse Detection
N Cecillon - 2024 - theses.hal.science
Online abusive behaviors can have devastating consequences on individuals and
communities. With the global expansion of internet and the social networks, anyone can be …
communities. With the global expansion of internet and the social networks, anyone can be …
Combinaison des graphes et du texte pour la modélisation de conversations: Application à la détection d'abus en ligne
N Cécillon - 2024 - theses.hal.science
Online abusive behaviors can have devastating consequences on individuals and
communities. With the global expansion of internet and the social networks, anyone can be …
communities. With the global expansion of internet and the social networks, anyone can be …
[PDF][PDF] Combining Heterogeneous Information: Contributions to the Extraction and Analysis of Feature-Rich Complex Networks
V Labatut - 2021 - theses.hal.science
The expression Complex networks started to be used in the late s and early s to name
graphs used to model real-world complex systems [,,]. Here, the term system refers to a set of …
graphs used to model real-world complex systems [,,]. Here, the term system refers to a set of …