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.

Cross-listed with DTSA 5503. Course Type: Pathway | Breadth Specialization: Foundations of Data Structures and Algorithms Instructor: Dr. Sriram Sankaranarayanan, Professor of Computer Science Prior ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

Nvidia has been doing this with CUDA since 2007. Since then, Nvidia has released more than 40 Nvidia CUDA-X libraries, with the most recent being Rapids, an open-source data science platform that ...

With that integration, Snowflake users will be able to employ more than 65 graph algorithms directly, without needing to move information from that cloud data warehouse environment first. Image ...

Graph-decomposed k-NN searching algorithm on road network. Higher Education Press . Journal Frontiers of Computer Science DOI 10.1007/s11704-023-3626-3 ...

moleculaRnetworks contains novel analysis algorithms and techniques unavailable elsewhere. These include graph theory-based analyses of network structure, including clustering of solvent molecules ...