A Link Prediction Method Based on Neural Networks

A Link Prediction Method Based on Neural Networks

Blog Article

Link prediction to optimize network performance is of great significance in network evolution.Because of the complexity of network systems and the uncertainty of network evolution, it faces many challenges.This paper proposes a new link prediction method based on neural networks trained on scale-free networks as input data, and optimized networks metal-anal trained by link prediction models as output data.

In order to solve the influence of the generalization of the neural network on the experiments, a greedy link pruning strategy is applied.We consider network efficiency and the proposed global network structure reliability as objectives to comprehensively evaluate link prediction performance and the advantages of the neural network method.The experimental results demonstrate that the Storage neural network method generates the optimized networks with better network efficiency and global network structure reliability than the traditional link prediction models.