Overrepresenting data from one source while unnecessarily reducing the representation of another ... The first step is to clean and structure the data into a format that AI algorithms can ...

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your data.

The strategy for encoding Petri nets as chained linear lists involves two structures: one for PList placements and one for TList transitions. This is the orthogonal representation of chained linear ...

The scheme replicates Nifty200 Quality 30 Index which aims to invest in companies with high return on equity (ROE), financial ...

May 29, 2025 marks the 20th anniversary of the rejection, by referendum, of the draft European Constitutional Treaty—a major ...

Abstract: Network representation learning (NRL) has far-reaching effects on data mining research, showing its importance in many real-world applications. NRL, also known as network embedding, aims at ...

Mathematical symbology possesses the property of infinite extension (e.g., the natural numbers). Cantor’s diagonal slash ...

For the community detection module, we utilize autoencoder to encode and decode modularity matrix of the graph to obtain community-specific representation of each node. For the tGCN module, we use the ...

Abstract: To address the conflict between the limited availability of spectrum resources and the swiftly growing number of frequency equipment in the Internet of Vehicles, this article starts from the ...

List of gridded meteorological elements, and linked metadata These datasets can be ... NetCDF is a multidimensional scientific data format especially useful for the representation of complex spatial ...