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.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

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 ...

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 ...

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.

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