I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Realty Income is my largest REIT holding due to its durable, tangible monthly income streams. Click here to find out why I ...

The surging use of chemical-based cosmetics in rapidly growing urban beauty facilities has raised significant concerns ...

The Helfrich theory of membrane bending, supported by molecular dynamics simulations, is a promising approach for evaluating mechanical properties of graphene nanosheets, report researchers from ...

Since re-entering office, President Trump has announced a barrage of tariffs to try to rewire the global economy.

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 ...

Specifically, this paper introduces and discusses: 1) fundamentals of edge computing and graph learning, 2) emerging techniques centering on the closed loop between graph intelligence and edge ...

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 ...