Circular RNAs (circRNAs), recognized as covalently closed, single-stranded RNA molecules formed through reverse splicing, are characterized by their unique ring structures, site-specific splicing, and ...
State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing 211112, China ...
Collaboration enables researchers to begin exploring 10x single cell tools and datasets conversationally, with spatial applications to follow - making advanced analysis more accessible to the broader ...
Abstract: Graph Contrastive Learning (GCL) has recently garnered significant attention for enhancing recommender systems. Most existing GCL-based methods perturb the raw data graph to generate views, ...
ABSTRACT: Drug repositioning aims to identify new therapeutic applications for existing drugs offering a faster and more cost-effective alternative to traditional drug discovery. Since approved drugs ...
Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...
Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2025, 10:43am EDT Business 3d tablet virtual growth ...
As one of the most crucial topics in the recommendation system field, Point-of-Interest (POI) recommendation aims to recommending potential interesting POIs to users. Recently, graph neural networks ...
IEEE-Published Study Improves Recommendation Accuracy With Knowledge Graphs and Contrastive Learning
A newly published study from the Institute of Electrical and Electronics Engineers (IEEE) presents a novel approach to improving the accuracy and robustness of recommender systems, using a combination ...
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