Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for ...
However, EEG data have a complex nonEuclidean structure and are often scarce, making training effective graph neural network (GNN) models difficult. We propose a “pre-train, prompt” framework in graph ...
In this paper, a data-driven evolutionary algorithm based on inductive graph neural networks (DEA-IGNN) is proposed to solve MMOPs, which successfully learns the PSs topology by the graph structure to ...
Feb. 12, 2025 — Scientists have developed a new systematic review to summarize for neurologists and other clinicians the evidence for epidural steroid injections and whether they reduce pain and ...
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