Multi-relational Affinity Propagation

There is a growing need for clustering algorithms which can operate in complex settings where there are multiple entity types with potential dependencies captured in different kinds of links. In this work, we present a novel approach for multi-relational clustering based on both the similarity of th...

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Veröffentlicht in:	2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) S. 117 - 124
Hauptverfasser:	Sharara, Hossam, Getoor, Lise
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 10.11.2022
Schlagworte:	Clustering algorithms Complex networks Feature extraction Social networking (online)
Online-Zugang:	Volltext
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