Results 271 to 280 of about 229,000 (311)
PlantIF: Multimodal semantic interactive fusion via graph learning for plant disease diagnosis. [PDF]
Wu X +9 more
europepmc +1 more source
Tunable dynamics of an interface‐type memristor array enabled by dual‐ion modulation through Ag nanoclusters are demonstrated. A 32 × 32 one‐resistor (1R) array exhibits 100% yield with high temporal/spatial uniformity (<3%) and a rectification ratio of 105.
Yoonho Cho +7 more
wiley +1 more source
Knowledge-aware contrastive heterogeneous molecular graph learning. [PDF]
Chen M +6 more
europepmc +1 more source
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu +5 more
wiley +1 more source
A Comparative Evaluation of Machine Learning and Deep Graph Learning for Chemical Ecotoxicological Prediction. [PDF]
Lou X, Cai J, Un CW, Siu SWI.
europepmc +1 more source
Multi-view clustering via global-view graph learning. [PDF]
Li Q, Yang G.
europepmc +1 more source
TMBclaw: tumor clone-aware graph learning improves immunotherapy response prediction across heterogeneous cohorts. [PDF]
Wang Y +8 more
europepmc +1 more source
3DViT-GAT: a unified atlas-based 3D vision transformer and graph learning framework for major depressive disorder detection using structural MRI data. [PDF]
Alotaibi NM, Alhothali AM, Ali MS.
europepmc +1 more source
DA-HGL: a domain-augmented heterogeneous graph learning framework for protein function prediction. [PDF]
Hu S, Zhang W, Zhao B.
europepmc +1 more source

