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.

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

Description 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 ...

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 ...

Their algorithm uses time-series data—observations collected at even intervals over a period—to construct hypergraphs (and other representations of higher-order interactions) that produce the ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...

Away from finding a magical algorithm that can compare any graph, even in the worst-case scenario, the ISTA researchers sought to understand the philosophy of why certain algorithms seem to work ...

Explain fundamental concepts for algorithmic searching and sorting Courses Algorithms for Searching, Sorting & Indexing Trees & Graphs: Basics Dynamic Programming, Greedy Algorithms This ...

Space Complexity: An assessment of the amount of memory an algorithm requires during its execution. The graph below shows the total number of publications each year in Data Structures and Algorithms.