begins with raw data. It is first ingested, then structures or schemas are built on top of the data once it has been read. Governance rules, policies, and quality controls are also added to the ...

Supply- and Demand-Driven PCE Inflation updates data on the contributions to personal consumption expenditures (PCE) inflation from supply-driven versus demand-driven components. This tool is intended ...

Abstract: Finding connectivity in graphs has numerous applications, such as social network analysis, data mining, intra-city or inter-cities ... in massive graphs (billions of edges and vertices) is ...

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This requires models to have cognition of the characteristics of traffic data. However, current deep learning models based on spatiotemporal networks typically employ single-scale graph convolutions ...

Veloclade is a research prototype of a neuro-symbolic knowledge graph system. It uses clade-inspired hierarchy + embedding clustering (sentence-transformers) to control ontology growth and mitigate ...