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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:IEEE Access
المؤلفون الرئيسيون: Zhiwei Zhang, Guangliang Zhu, Wenbo Qin
التنسيق: مقال
اللغة:الإنجليزية
منشور في: IEEE 2024-01-01
الموضوعات:
Complex network
link prediction
graph neural network
enclosure subgraph
high-frequency graph information
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/10517583/

الانترنت

https://ieeexplore.ieee.org/document/10517583/

مواد مشابهة