As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications.

Despite higher construction prices, Property Valuation Administrator Bill Dunn said 125 permits for new homes were awarded in 2025, up from 88 in 2024.

KROWN 👑 is a benchmark for materialization systems to construct Knowledge Graphs from (semi-)heterogeneous data sources using declarative mappings such as RML. We provide samples of the generated ...

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...

The implementation of this should effectively add a sequence of nodes to the FunctionProto being constructed that represents a call to the logic in the graph parameter, with the given list of ...

I’ve been working on an article about vacuum tube triodes. Yes, they’re still being used in the manufacture of high-end audio equipment and in musical instrument amplifiers. A triode has three ...

WASHINGTON – January 21, 2025 – After increasing by almost 20% in 2023 and another 6% last year, construction spending for nonresidential buildings—commercial, industrial, and institutional facilities ...