Abstract: Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals ...

ABSTRACT: The dynamic viscoelastic properties of asphalt AC-20 and its composites with Organic-Montmorillonite clay (OMMt) and SBS were modeled using the empirical Havriliak-Negami (HN) model, based ...

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...

Is your feature request related to a problem? Please describe. I need a material law applies to following conditions: Support temperature-dependent Young's modulus and Poisson's ratio; Support ...

Understanding the rate of change on a graph is an essential mathematical skill, particularly in scientific, economic, and technical fields. The rate of change describes the slope, or steepness, of a ...

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

Type into cell A2 8 as the Number and cell B2 2 as the Divisor and then press Enter. The result would be 0. Type more numbers and divisors into your spreadsheet, then on the result column, drag the ...