To address this gap, we propose a spatio-temporal interactive graph representation framework (STIGR) for dynamic neuroimaging analysis that encompasses different aspects from classification and ...

Abstract: Some current researchers attempt to extend the graph neural network (GNN) on multi-view representation learning and learn the latent structure information among the data. Generally, they ...

Ubiquitylation is a reversible post-translational modification involved in a myriad of cellular functions. A superfamily of approximately 100 ubiquitin-specific proteases, called deubiquitylating ...

Also in the running is Silence Therapeutics, which is developing an Lp(a) siRNA candidate called SLN360 and recently reported positive phase 1 results in ASCVD patients. The category of genetic ...

These top-rated picks feature all this plus positive messages and hidden learning that parents will appreciate. If you're looking for popular cartoons your kids can watch instantly, check out our ...

Our goal is to build a high-performance Knowledge Graph tailored for Large Language Models (LLMs), prioritizing exceptionally low latency to ensure fast and efficient information delivery through our ...