Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Graph data, essential in fields like knowledge representation and social networks, often involves large networks with many nodes and edges. Transmitting these graphs can be highly inefficient due to ...

Open Excel, and you will see a new tab in the ribbon at the top that says PyXLL.

Key Takeaways X, Facebook, and LinkedIn offer data roles across product, marketing, and AI.These jobs require strong skills ...

Palantir shows strong growth, but extreme valuation and retail hype make the risk high despite solid fundamentals. Find out ...

UK universities offer world-class data science programs with strong connections to the industry.Institutions such as the ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Add a description, image, and links to the graph-data-science topic page so that developers can more easily learn about it ...

In intelligent transportation systems, deep learning is a widely adopted technique for traffic data recovery. In city-wide traffic data recovery tasks, traditional centralized deep-learning-model ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.