The proposed model could explicitly discover the spatial correlation by adaptive graph convolution and reveal the temporal dynamics by neural differential equation, which make the modeling more ...

Adam Gopnik reviews “Louis B. Mayer and Irving Thalberg: The Whole Equation,” by Kenneth Turan.

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) ...

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database ...

Spread the loveIntroduction: Graphing an equation is an essential skill in mathematics, as it helps us visualize the relationships between variables. There are several techniques that can be employed ...

For math and economics students, notetaking software that converts lecture notes into equations and graphs eases the learning process. Handwritten notes, although great for memorization, make solving ...

In this paper, we explore to solve the linear equation problem Aθ = b under a directed graph. A “consen-sus+innovation” type distributed algorithm is proposed.

Although Equation (6) can be used for multi-modal feature selection, it ignores the deviation problem in the process of data fitting. In addition, it does not learn the graph structure information ...

Graph-based descriptors, such as bond-order matrices and adjacency matrices, offer a simple and compact way of categorizing molecular structures; furthermore, such descriptors can be readily used to ...