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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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Principais autores: Zhiwei Zhang, Guangliang Zhu, Wenbo Qin
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2024-01-01
Serier:IEEE Access
Fag:
Complex network
link prediction
graph neural network
enclosure subgraph
high-frequency graph information
Online adgang:https://ieeexplore.ieee.org/document/10517583/
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