Graphene and its molecular fragments, known as nanographenes, are key materials for next-generation organic electronics due ...

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 ...

UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.

The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the ...

Google's latest animated Doodle celebrates the quadratic equation, transforming its homepage into an interactive classroom.

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better.

Abstract: The stock market is a profit-oriented, chaotic, and nonlinear market game platform. Because price changes are directly related to investors’ returns, the accurate prediction of the ...

Abstract: Hyperspectral image (HSI) clustering is a fundamental yet challenging task that typically operates without training labels. Recent advancements in deep graph clustering methods have shown ...