Raster-to-Graph is a novel automatic recognition framework, which achieves structural and semantic recognition of floorplans, addresses the problem of obtaining high-quality vectorized floorplans from ...

Investors should diversify beyond tech, focus on macro trends, and seek opportunities in undervalued sectors to achieve solid ...

Abstract: Graph Neural Networks (GNNs) have achieved remarkable performance on various learning tasks on geometric data. However, the incorporation of graph structures into the learning of node ...

You can use ChatGPT to write essays and for a myriad of other tasks, but did you know, you can create graphs, charts, and diagrams as well in ChatGPT? Yes, with the ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Constructing Knowledge Graphs (KGs) from unstructured data is a complex task due to the difficulties of extracting and structuring meaningful information from raw text. Unstructured data often ...

1 Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, United States 2 Department of Computer Science, Emory University, Atlanta, GA, United States With the ...

Humans perform a variety of statistical evaluations intuitively, so what about primates? A research paper suggests that baboons have the same ability as we do, offering a new view into the brain of ...