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, ...

Abstract: Recently, molecular representation learning (MRL) based on graph neural networks (GNNs) has flourished. Many existing approaches are purely data-driven, focusing on exploiting the intrinsic ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

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 ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Multidomain attacks are on the verge of ...

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