An evaluation tool for backbone extraction techniques in weighted complex networks
Networks are essential for analyzing complex systems. However, their growing size
necessitates backbone extraction techniques aimed at reducing their size while retaining …
necessitates backbone extraction techniques aimed at reducing their size while retaining …
Facilitating the interoperability and reuse of extensions of fuzzy cognitive maps
R Schuerkamp, PJ Giabbanelli… - 2023 Annual Modeling …, 2023 - ieeexplore.ieee.org
Fuzzy Cognitive Maps (FCMs) are widely used to support participants in externalizing their
mental models regarding a system. However, the graph-based formalism of FCMs cannot …
mental models regarding a system. However, the graph-based formalism of FCMs cannot …
Applications Of Large Language Models, Aggregation Algorithms, And Extensions For Fuzzy Cognitive Maps
R Schuerkamp - 2024 - rave.ohiolink.edu
Abstract Fuzzy Cognitive Maps (FCMs) are powerful semi-quantitative simulation models
capable of investigating the long-term behavior of complex systems. They are quick and …
capable of investigating the long-term behavior of complex systems. They are quick and …
Node2bert: Only Graph Structure Learning for Robust Node Classification
Abstract Graph Neural Networks, which are effective in real-world applications, often suffer
from poor and biased attributes in graph data. Therefore, it is necessary to construct a model …
from poor and biased attributes in graph data. Therefore, it is necessary to construct a model …