Xiumei Wen
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View article: Ensemble graph auto-encoders for clustering and link prediction
Ensemble graph auto-encoders for clustering and link prediction Open
Graph auto-encoders are a crucial research area within graph neural networks, commonly employed for generating graph embeddings while minimizing errors in unsupervised learning. Traditional graph auto-encoders focus on reconstructing minim…
View article: Peer Review #2 of "Application of graph auto-encoders based on regularization in recommendation algorithms (v0.1)"
Peer Review #2 of "Application of graph auto-encoders based on regularization in recommendation algorithms (v0.1)" Open
Social networking has become a hot topic at the moment, in which recommendation algorithms are the most important.Recently, the combination of deep learning and recommendation algorithms has attracted considerable attention.The combination…
View article: Application of graph auto-encoders based on regularization in recommendation algorithms
Application of graph auto-encoders based on regularization in recommendation algorithms Open
Social networking has become a hot topic, in which recommendation algorithms are the most important. Recently, the combination of deep learning and recommendation algorithms has attracted considerable attention. The integration of autoenco…
View article: Peer Review #2 of "Application of graph auto-encoders based on regularization in recommendation algorithms (v0.2)"
Peer Review #2 of "Application of graph auto-encoders based on regularization in recommendation algorithms (v0.2)" Open
Social networking has become a hot topic at the moment, in which recommendation algorithms are the most important.Recently, the combination of deep learning and recommendation algorithms has attracted considerable attention.The combination…
View article: Peer Review #3 of "Application of graph auto-encoders based on regularization in recommendation algorithms (v0.1)"
Peer Review #3 of "Application of graph auto-encoders based on regularization in recommendation algorithms (v0.1)" Open
Social networking has become a hot topic at the moment, in which recommendation algorithms are the most important.Recently, the combination of deep learning and recommendation algorithms has attracted considerable attention.The combination…
View article: Random Walk Graph Auto-Encoders With Ensemble Networks in Graph Embedding
Random Walk Graph Auto-Encoders With Ensemble Networks in Graph Embedding Open
Recently graph auto-encoders have received increasingly widespread attention as one of the important models in the field of deep learning. Existing graph auto-encoder models only use graph convolutional neural networks (GCNs) as encoders t…
View article: Shared Rules between Planetary Orbits in Multi-planet Systems
Shared Rules between Planetary Orbits in Multi-planet Systems Open
Abstract: Although Mean Motion Resonances (MMRs) only reflect the orbital relations between part planets of some systems, the discovery of MMRs feature has promote the study of the evolution of multi-planet systems. To better study orbital…
View article: Improvement and Research of Collaborative Filtering Algorithm Based on Penalty Factor
Improvement and Research of Collaborative Filtering Algorithm Based on Penalty Factor Open
The rapid development of the Internet has pushed society into the era of information explosion, and people are faced with more and more information screening and choices. A recommendation system is an effective way to process massive amoun…
View article: A Hybrid Intrusion Detection System Based on Feature Selection and Weighted Stacking Classifier
A Hybrid Intrusion Detection System Based on Feature Selection and Weighted Stacking Classifier Open
Cyber-attacks occur more frequently with the rapid growth in the Internet. Intrusion detection systems (IDS) have become an important part of protecting system security. There are still some challenges preventing IDS from further improving…