Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs into heterogeneous graphs, the "message ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

Abstract: Deep learning has witnessed rapid progress through frameworks such as PyTorch, which has become the dominant choice for researchers and practitioners due to its dynamic computation, ...

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...

The below is a summary of a story that originally appeared on the Duke University Libraries website. The renovation of Lilly Library on Duke’s East Campus recently reached a major milestone: the ...

An earthquake just hit Hollywood. After an intense bidding process, Netflix has emerged victorious, becoming the future shepherd of Warner Bros. and its TV and movie studios, as well as HBO and HBO ...

What if you could build an autonomous system that not only executes complex, long-running tasks but also adapts to evolving challenges with remarkable precision? Enter Deep Agents, a innovative ...

Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms. All of modern mathematics is built on ...

DEEP CREEK LAKE — A collaboration with Deep Creek Watershed Foundation and the Property Owners’ Association of Deep Creek Lake Inc. has resulted in the launch of a real-time water level graph for Deep ...

This blog post was authored by Matt Meyer, PE, LEED AP, Client Executive, IMEG Corp. Milne Library is a much-loved, visible, and busy building on the campus of State University New York (SUNY) Geneseo ...

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...