Graph convolutional neural networks

Results 231 to 240 of about 37,604 (258)

Spatiotemporal weather forecasting via multi-scale graph neural networks and latent diffusion models. [PDF]

PLoS One
Wu Z.
europepmc +1 more source

Nanophotonic Biosensors and the Paradigm of Trans‐Scale Autonomous Bio‐Integrated Diagnostics for Addressing Health Complexities

Electron, EarlyView.
Physics‐driven advances in optical nanobiosensors for rapid, miniaturized, and point‐of‐care diagnostics for next‐generation decentralized and personalized healthcare based on sensor intelligence. ABSTRACT Public health emergencies and the escalating burden of chronic diseases necessitate a paradigm shift from centralized laboratory testing to rapid ...
Vishal Chaudhary +5 more
wiley +1 more source

Multiplex networks-based directed graph neural network for cancer driver gene identification. [PDF]

PLoS Comput Biol
Li P, Xie M.
europepmc +1 more source

Histology-informed spatial domain identification through multi-view graph convolutional networks. [PDF]

PLoS Comput Biol
Zhang H +11 more
europepmc +1 more source

Traffic flow prediction via dynamic hypergraph learning. [PDF]

PLoS One
Wei S, Yang Y, Wang C.
europepmc +1 more source

Graph-based deep learning for drug-drug interaction prediction: a systematic review. [PDF]

Front Chem
Liu X, Yu X, Dai Q.
europepmc +1 more source

Prior-Knowledge-Guided Graph Attention Network for Fault Diagnosis of Engine Valve Clearance. [PDF]

Sensors (Basel)
Li M, Wen J, Yang X, Hu Y, Li X, Shi Z.
europepmc +1 more source

A Comprehensive Survey on Graph Neural Networks [PDF]

IEEE Transactions on Neural Networks and Learning Systems, 2021
Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and natural language understanding.
Zonghan Wu, Shirui Pan, Guodong Long
exaly +2 more sources

graph neural network
graph neural networks
deep learning

medicine
graph convolutional network