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 ...

Graph algorithms and processing form the backbone of numerous applications across science and industry, ranging from social network analysis to large-scale data management.

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 ...

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 ...

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