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Chapter and Conference Paper
An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection
Community structure is an important feature of complex networks and it is essential for analyzing complex networks. In recent years, community detection based on heuristic algorithms has received much attentio...
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Chapter and Conference Paper
Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-attention Mechanism
As the problem of information overload becomes increasingly serious, traditional recommendation algorithms are difficult to efficiently provide assistance to users. In this context, more and more scholars have...
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Chapter and Conference Paper
A Memetic Algorithm Based on Adaptive Simulated Annealing for Community Detection
The application of community detection (community discovery) has been widely used in various fields for several years. To improve the algorithm accuracy, we proposed a memetic algorithm based on an adaptive si...
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Chapter and Conference Paper
Personalized Recommendation Using Extreme Individual Guided and Adaptive Strategies
In the era of information explosion, recommender systems have been widely used to reduce information load nowadays. However, mainly traditional recommendation techniques only paid attention on improving recomm...