Ever since large language models (LLMs) exploded onto the scene, executives have felt the urgency to apply them enterprise-wide. Successful use cases such as expedited insurance claims, enhanced ...

The last decade has witnessed a rapid development of deep learning applied in the field of recommendation 1. However, traditional deep learning recommendation systems have the problem of cold start ...

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval. Knowledge graphs are reshaping how we organize and make ...

To ensure the safety of industrial systems and reduce downtimes, fault diagnosis must be accurate and timely. A graph neural network-based method introduced in this paper is referred to as the ...