INTEREST-AWARE CONTRASTIVE-LEARNING-BASED GCN FOR RECOMMENDATION

Interest-Aware Contrastive-Learning-Based GCN for Recommendation

Graph convolutional networks (GCNs) Light Brackets have shown great potential in recommender systems.GCN models contain multiple layers of graph convolutions to exploit signals from higher-order neighbors.In each graph convolution, the embedding of a user or item is influenced by its directly connected neighbors.Some of the main problems with this

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Production of Energetic Light Fragments in Spallation Reactions

Different reaction mechanisms contribute to the production of light fragments (LF) from nuclear reactions.Available models cannot accurately predict emission of LF from arbitrary reactions.However, the emission of LF is important formany applications, such as cosmic-ray-induced single event upsets, radiation protection, and cancer therapy with prot

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Clinical analysis of four serum tumor markers in 458 patients with ovarian tumors: diagnostic value of the combined use of HE4, CA125, CA19-9, and CEA in ovarian tumors

Fawen Chen,1,2 Jing Shen,3 Jianwei Wang,1 Pengwei Cai,1 Yi Huang3 1Department of Clinical Laboratory, Fujian Provincial Hospital South Branch, 2Department of Blood Transfusion, 3Department of Clinical Laboratory, Fujian Provincial Hospital, Provincial Clinical College of Fujian Medical University, Fuzhou, People’s Republic of China Purpose: T

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