This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Abstract: Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-dimensional ...

New to vectors? In this beginner’s guide, we’ll break down the basics of vectors, how they work, and where they show up in the real world. Perfect for anyone starting out! #VectorsExplained ...

In business design, vector graphics are vital for creating high-quality visuals that maintain sharpness across various formats and sizes. Whether you're a professional designer, business owner, ...

Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In response to the aforementioned challenges mentioned above, ...

Background: Predicting drug-target interaction (DTI) is a crucial phase in drug discovery. The core of DTI prediction lies in appropriate representations learning of drug and target. Previous studies ...

The nature of monetary arrangements is often discussed without any reference to its detailed construction. We present a graphic representation that allows for a clear understanding of modern monetary ...