Air Products and Chemicals is in the midst of a turnaround and offers an attractive value and outlook. Click here to read an ...

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 ...

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 ...

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...

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 ...