Graph neural network modeling of spatial tumor-immune interactions identifies prognostic cellular niches in non‑small cell lung cancer. [PDF]
Hoebel KV +11 more
europepmc +1 more source
iGraphCTC: an inter-connected graph convolutional network for comprehensive clinical trial collaborations. [PDF]
Jang J, Ahn H, Park E.
europepmc +1 more source
Towards cross-domain few-shot modulation classification: a feature transformation graph neural network approach. [PDF]
Shi Y, Xu H, Qi Z, Wang D, Meng Q.
europepmc +1 more source
AMR-GNN: a multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction. [PDF]
Nguyen HA +13 more
europepmc +1 more source
Semi-Supervised Fatty Liver Classification Using Attention-Based Graph Neural Network Models. [PDF]
Kim SY, Wang S, Sohn KA, Choe EK.
europepmc +1 more source
Graph convolution-based techniques for pragmatic Arabic figurative language classification. [PDF]
Banou Z +5 more
europepmc +1 more source
Survival prediction for bladder cancer using multimodal data with quantum neural networks and transformer architectures. [PDF]
Qin Z +6 more
europepmc +1 more source
dFCExpert: Learning Dynamic Functional Connectivity Patterns With Modularity and State Experts. [PDF]
Chen T, Li H, Zheng H, Fan Y.
europepmc +1 more source
AutoGERN: single-cell RNA-seq gene regulatory network inference via explicit link modeling and adaptive architectures. [PDF]
Wang J, Chen Y, Zou Q, Luo X.
europepmc +1 more source
ARO-GNN: Adaptive relation-optimized graph neural networks
Yong Lu, Zhengguo Lin
openaire +1 more source

