Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Raghab Singh’s research advances structure-first AI models for healthcare, combining molecular geometry and language ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...

Computational biology, a field that has emerged at the intersection of biology, computer science, and mathematics, has revolutionized our understanding of living systems. By leveraging computational ...

Looking for good code examples for LeetCode problems? You’re in luck! Lots of people share their solutions online, especially ...

Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...

Engineers have long battled a problem that can cause loud, damaging oscillations inside gas turbines and aircraft engines: ...

Head of Quantitative Strategy at Seeking Alpha, Steven Cress, shares why the AI sector still looks good and which stocks look ...

The Saint Louis University Department of Computer Science is committed to the development and study of computing technologies for the greater good of humanity. SLU offers bachelor's, master's and ...

An international collaboration of astrophysicists that includes researchers from Yale has created and tested a detection system that uses gravitational waves to map out the locations of merging black ...

Globally, more than one million species are threatened with extinction, but often interventions intended to protect biodiversity are not rooted in robust research. The field has an opportunity to ...