Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...

Abstract: Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning, necessitating tailored approaches to ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

Stellar Migrator for Exchange simplifies On-Premises and Tenant-to-Tenant migrations with a secure, PowerShell-free local ...

Representing a molecule in a way that captures both its structure and function is central to tasks such as molecular property prediction, drug drug ...

Abstract: Graph topology inference is a significant task in many application domains. Existing approaches are mostly limited to learning a single graph assuming that the observed data is homogeneous.

New AI-enabled research tool, Cardiovascular Knowledge Graph (CardioKG), connects heart scans with genetics, boosting drug ...