Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

“This method enables short cycle production of recyclable lightweight sandwich parts in the automotive industry”, Ralf Schlimper, Fraunhofer IMWS The Thermoplastic Sandwich Moulding technology that ...

Abstract The cost and strict input format requirements of GraphRAG make it less efficient for processing large documents. This paper proposes an alternative approach for constructing a knowledge graph ...

The rising popularity of tabular data in data science applications has led to a surge of interest in utilizing deep neural networks (DNNs) to address tabular problems. Existing deep neural network ...

In this new study, the researchers were able to develop a method to catalytically grow narrow, long, and reproducible graphene nanoribbons directly within insulating hexagonal boron-nitride stacks ...

The most expeditious method for the design of concrete beams under fire situation is the tabular method, presented by the Brazilian standard ABNT NBR 15200:2012. Albeit simple, this method constrains ...

Intro: Graph Neural Networks for Tabular Data Learning The deep learning-based approaches to Tabular Data Learning (TDL), classification and regression, have shown competing performance, compared to ...