Link prediction using betweenness centrality and graph neural networks

Social networks are widely considered as the most important tool to connect people. The last century saw a massive increase in the number of links between users. Many nodes and/or edges are included or removed repeatedly as time passes. In order to understand the patterns of relations among people o...

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Veröffentlicht in:	Social Network Analysis and Mining 2022-12, Vol.13 (1), p.5, Article 5
Hauptverfasser:	Ayoub, Jibouni, Lotfi, Dounia, Hammouch, Ahmed
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Classification Entropy Graph neural networks Information sharing Machine learning Methods Network analysis Network centrality Neural networks Nodes Optimization Resource allocation Similarity Similarity measures Social network analysis Social networks Time measurement
Online-Zugang:	Volltext
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