Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Learn how Neo4j and n8n simplify knowledge graphs for smarter data insights. Build AI-driven graphs for customer data and document navigation ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presented the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at this year’s Embedded Vision Summit. Quadric’s ...

Fama–French Factor Graphs is a Python-based analytical tool for visualising factor model regressions using the Fama–French framework. The program enables users to plot and compare exposures to the ...

Drug–drug interactions (DDIs) present a significant challenge in clinical practice, as they may lead to adverse reactions, diminished therapeutic efficacy, and serious risks to patient safety. However ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

Abstract: Graph spectral filtering relies on a representation matrix to define the frequency-domain transformations. Conventional approaches use fixed graph representations, which limit their ...

Abstract: Broken access control is still one of the most common vulnerabilities. This vulnerability can cause unauthorized information disclosure, modification, or destruction of all data or ...

For decades, engineers have utilized Petri nets to develop automated systems with specific functional requirements or characteristics. Nonetheless, the existing formalism prevents the use of classic ...