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

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

Coursera now offers 12,100 courses, of which 2,300 are focused on AI, with 1,100 of these on genAI alone, shares Hart ...

MicroCloud Hologram’s approach uses a logarithmic encoding method to reduce the number of qubits needed, representing an N-dimensional feature space using just log (N) qubits. The system forms an ...

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

A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

Abstract: Graph representation learning is an emerging area for graph analysis and inference. However, existing approaches for large-scale graphs either sample nodes in sequential walks or manipulate ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial intelligence (AI), has increased exponentially, creating a serious social ...

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 ...

Graph generation is an important task across various fields, including molecular design and social network analysis, due to its ability to model complex relationships and structured data. Despite ...