Chemistry | Computer Science Enhancing Chemical Reaction Monitoring with a Deep Learning Model for NMR Spectra Image Matching to Target Compounds. July 9, 2024
Neurology | Psychiatry | Radiology Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features. May 16, 2024
Bioinformatics | Data Science | Genomics [Identifying spatial domains from spatial transcriptome by graph attention network]. April 30, 2024
Neurology | Psychiatry A novel approach for ASD recognition based on graph attention networks. April 25, 2024
Bioinformatics | Drug Discovery | Pharmacology A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators with Functional Group Information and Hypergraph Structure. April 2, 2024
Bioinformatics | Biomedical Informatics | Machine Learning in Healthcare MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model. May 5, 2023
Radiology Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. April 7, 2023
Intelligent Road Network Systems Design | Machine Learning | Traffic Engineering Road-Type Classification with Deep AutoEncoder. March 24, 2023
Ambient Assisted Living | Smart Home Systems A Graph-Attention-Based Method for Single-Resident Daily Activity Recognition in Smart Homes. February 11, 2023
Bioinformatics | Biology | Drug design MM-StackEns: A new deep multimodal stacked generalization approach for protein-protein interaction prediction. January 24, 2023
Bioinformatics | Computational Biology | Genomics Single-cell RNA-seq data analysis using graph autoencoders and graph attention networks. December 26, 2022