Results 231 to 240 of about 405,787 (272)

Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advances. [PDF]

Front Neurosci
Ali S, Piana M, Pardini M, Garbarino S.
europepmc   +1 more source

Synolitic Graph Neural Networks of High-Dimensional Proteomic Data Enhance Early Detection of Ovarian Cancer. [PDF]

Cancers (Basel)
Zaikin A, Sviridov I, Oganezova JG, Menon U, Gentry-Maharaj A, Timms JF, Blyuss O.   +6 more
europepmc   +1 more source

AI-powered IC50 prediction for p53 inhibitors drug-target interaction via hybrid graph neural networks. [PDF]

J Comput Aided Mol Des
El-Masry WH, Monem S, Darwish NR, Hassanein AE.   +3 more
europepmc   +1 more source

Intelligent fault prediction and diagnosis for wind-powered heating systems using graph neural networks. [PDF]

Sci Rep
Wang Y, Zhao J, Tang D, Zhao W, Huang S.
europepmc   +1 more source

Graph Neural Networks vs. Traditional QSAR: A Comprehensive Comparison for Multi-Label Molecular Odor Prediction. [PDF]

Molecules
Wen T, Cai X, Li J.
europepmc   +1 more source

Integrative Spatial Modelling of Cellular Plasticity using Graph Neural Networks and Geostatistics

Withnell E, Celik C, Secrier M.
europepmc   +1 more source

CASTER-DTA: equivariant graph neural networks for predicting drug-target affinity. [PDF]

Brief Bioinform
Kumar R, Romano JD, Ritchie MD.
europepmc   +1 more source

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Graph Neural Networks

2021
Graphs are universal representations of pairwise relations with many real-world applications. In the healthcare domain, graphs are widely observed as relations of biomedical entities, including the graph structures of molecules, drug-drug interaction networks, protein-protein interaction networks, and gene expression networks and biomedical knowledge ...
Cao Xiao, Jimeng Sun
  +6 more sources