Work

Data-driven graph construction and graph learning: A review

Year: 2018

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2018.05.084

Authors: Lishan Qiao, Limei Zhang, Songcan Chen, Dinggang Shen

Institutions: University of North Carolina at Chapel Hill, Liaocheng University, Nanjing University of Aeronautics and Astronautics, Korea University

Language: English

Topic: Advanced Graph Neural Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: Infant Brain Measurement and Super-Resolution Atlas Construction, G3139536118, G4305135499, Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, Longitudinal Mapping of Human Brain Development in the First Years of Life, G5262501365, G56524902, Fast, Robust Analysis of Large Population Data, Imaging Genomics Based Brain Disease Prediction, G6748413423, G6845945143, G7112823909, G7609625574

OpenAlex ID: W2807150694

FWCI: 7.326

Cites: 164

Cited by: 161

Related to: 10