The Automotive & Road Transport category of this year's JEC Innovation Awards 2025 singled out a collaborative project for a technology applied to a truck storage compartment. Ralf Schlimper, Head of ...

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 (KG) ...

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 ...

Directly grown embedded graphene nanoribbons. Credit: Nature (2024). DOI: 10.1038/s41586-024-07243-0 × close ...

For the design of reinforced concrete beams in fire, the ABNT NBR 15200 [1] standard, inspired by the European standard Eurocode 2 part 1-2 [2], details only the tabular method (tables 1 and 2), in ...

Recently, graph neural networks (GNNs), which can enable modeling relations and interactions between different tabular data elements, has received tremendous attention across application domains ...