SGR turns adversarial shortcuts into teachers, isolating invariant subgraph rationales and delivering the first XGL framework ...

Discover how governments employ blockchain analytics to monitor and trace cryptocurrency transactions, enhancing transparency ...

CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

If you're struggling with math, these best math AI tools can help you solve those complex problems and equations with ease.

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

ABSTRACT: Predicting molecular properties is essential for advancing for advancing drug discovery and design. Recently, Graph Neural Networks (GNNs) have gained prominence due to their ability to ...

Abstract: This paper addresses the problem of online network topology inference for expanding graphs from a stream of spatiotemporal signals. Online algorithms for dynamic graph learning are crucial ...