Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

We previously introduced a “range corrected” Δ−machine learning potential (ΔMLP) that used deep neural networks to improve the accuracy of combined quantum mechanical/molecular mechanical (QM/MM) ...

In this way, DPC can grasp the co-occurrent and long-range relationship for both domains. To further narrow down the domain gap, we design a Domain-common Knowledge Incorporator (DKI) to guide the ...

Such graphs are called Harmonics. We generate Harmonic Graphs which are Cartesian products of cycles and their complements. These graphs are regular and they admit an equitable total coloring under ...

Control charts have two general uses in an improvement project. Undeniably, the most common application is as a tool to ...

What's Going On in This Graph? Graphs, maps and charts from The Times — and an invitation to students to discuss them live.

In this work we will deal with disc type surfaces of constant mean curvature in the three dimensional hyperbolic space which are given as graphs of smooth functions over planar domains. From the ...

The proposed method includes a multi-scale frequency domain feature extraction module, which uses 1-D channel convolutions of different scales to extract multi-scale frequency domain features.

The fast-rising pace of attacks is driving a graph database arms race across leading cybersecurity providers.

There should be detail in the entire range of data, like a properly exposed photograph. These maps of sea surface temperature (averaged from July 2002 through January 2014) demonstrate the importance ...