An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data ...

If you have ever felt overwhelmed by information or struggled to leverage your knowledge effectively, you're not alone. I ...

over 6000 assets (including all Forex pairs, Cryptocurrencies, Commodities, Indices and US stocks) unique interbank rates extensive historic data the option to save your configuration Here below ...

School of Information Science and Engineering, Hebei University of Science and Technology, 26 Yuxiang Street, Shijiazhuang, Hebei Province 050018, P. R. China ...

This article introduces dynamic multimodal process knowledge graphs (DMPKGs), a novel neurosymbolic framework for data and knowledge representation that supports cognitive tasks such as compositional ...

Abstract: Knowledge graphs are graph-structured data models that provide a robust scheme for representing real-world relational facts with structured triples. The structural and factual information in ...

Polar Knowledge Canada (POLAR) is responsible for advancing Canada’s knowledge of the Arctic, strengthening Canadian leadership in polar science and technology, and promoting the development and ...

Results and logs are stored in folder runs. The generated filenames include the date and time of program start in the form . result files generated, different serialization formats containing same ...

PowSyBl diagram allows users to generate customizable network graph diagrams (denominated network-area diagrams in PowSyBl) and single-line diagrams in SVG format files. PowSyBl is part of the LF ...