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A link prediction algorithm based on convolutional neural network
DOI:10.1016/j.physa.2025.130922.png)
Abstract
En 中文
• A CNN-based link prediction model named LPCNN is proposed. • Feature matrices are constructed using similarity and adjacency information. • LPCNN significantly improves prediction performance across multiple datasets. • The model adapts LeNet architecture specifically for link prediction tasks.
Keywords:
CNN
link prediction
feature matrices
LeNet
similarity
adjacency
Journal
P
IF:
3.1
Papers:
1.3K
Citations:
3.6W
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