The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

Flame retardants, plasticizers, and "forever" chemicals are common in household items like cookware and cosmetics. But these ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

NEC X, the Silicon Valley venture studio backed by NEC Corporation’s advanced technologies and global businesses, today announced that Metabob, an AI-powered code intelligence company from NEC X’s ...

Mathematics be a tricky subject, and many students struggle to get the hang of it, finding it difficult to solve problems and equations in class. It requires a special sort of attention that one can’t ...

Abstract: Graph-level anomaly detection (GLAD) aims to distinguish anomalous graphs that exhibit significant deviations from others. The graph-graph relationship, revealing the deviation and ...

Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?