Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

TigerGraph has been a leader in graph data management with its real-time scalable graph database, and graph algorithms have been part of TigerGraph’s DNA since our start. We used to call our ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Lise Getoor Abel Rodriguez UC Santa Cruz will join three other institutions to establish a transdisciplinary research institute bringing together mathematicians, statisticians, and theoretical ...

A research team led by SUTD proposes a quantum-enhanced framework for processing complex topological signals that could one ...

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

Amazon Neptune just added another query language, openCypher, to its arsenal. That may not sound like a big deal in and of itself, but coupled with updates in machine learning and data science ...

The Michigan Tech Advantage The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and ...

Ethical Issues: Decisions based on data science, particularly those involving automated algorithms, may raise ethical questions, especially if biased or discriminatory outcomes are produced.