A Method for Predicting Links in Complex Networks by Integrating Enclosure Subgraphs With High-Frequency Graph Information

Link prediction in complex networks, crucial for uncovering hidden or upcoming links between nodes and widely applicable in fields such knowledge graphs, faces challenges with current techniques. Predominantly, graph neural networks (GNN) based methods focus on learning node representations and use...

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Autors principals:	Zhiwei Zhang, Guangliang Zhu, Wenbo Qin
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Complex network link prediction graph neural network enclosure subgraph high-frequency graph information
Accés en línia:	https://ieeexplore.ieee.org/document/10517583/
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