Bioinformatics | Machine Learning | Pharmacology Gtie-Rt: A Comprehensive Graph Learning Model for Predicting Drugs Targeting Metabolic Pathways in Human. July 20, 2024
Neurology | Psychiatry The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification. May 25, 2024
Cancer Research | Genetics Edge-relational window-attentional graph neural network for gene expression prediction in spatial transcriptomics analysis. April 16, 2024
Oncology | Pulmonology | Radiology Robust deep learning from incomplete annotation for accurate lung nodule detection. April 3, 2024
Biomedical Informatics | Clinical Decision Support Graph-guided deep hashing networks for similar patient retrieval. December 29, 2023
Anomaly Detection | Data Science | Machine Learning Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection. November 14, 2023
Data Science | Environmental Science | Remote Sensing Monitor water quality through retrieving water quality parameters from hyperspectral images using graph convolution network with superposition of multi-point effect: A case study in Maozhou River. June 8, 2023
Computer Science | Machine Learning A safe semi-supervised graph convolution network. January 23, 2023
Oncology | Pathology Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. December 9, 2022
Bioinformatics | Drug Discovery | Pharmacology Multiphysical graph neural network (MP-GNN) for COVID-19 drug design. June 13, 2022
Bioinformatics | Medical Research iGRLCDA: identifying circRNA-disease association based on graph representation learning. March 24, 2022
Environmental Science | Traffic Engineering | Urban Planning A Deep Learning Framework About Traffic Flow Forecasting for Urban Traffic Emission Monitoring System. February 14, 2022