When learning C++ data structures, have you ever felt dizzy from the complex jumps of pointers, the layers of recursion, or the depth-first traversal of graphs? Those abstract concepts are like ...

Abstract: In the era of social networks, gene sequencing, and big data, a new class of applications that analyze the properties of large graphs as they dynamically change over time has emerged. The ...

Final consolidated archive for the Data Structures and Algorithms — Laboratory (Java) course. Includes hands-on implementations, lab materials, and indexed links to all topic repositories. Designed ...

Abstract: In light of the growing emphasis on the right to be forgotten of graph data, machine unlearning has been extended to unlearn the graph structures’ knowledge from graph neural networks (GNNs) ...

COMP 268 or COMP 206. Familiarity with the fundamentals of Java and/or C++ is a prerequisite to this course. Candidates with considerable programming skills in Java, C, C++, or other languages may be ...

A new set of programmes revolving around Java and Data Science have been introduced by NIIT for students who have completed high school. Students can enrol in six-week online courses in the Data ...

Data structure for dynamic connectivity in undirected graphs. Supports adding and removing edges and checking whether two vertices are connected (there's a path between them) in polylogarithmic time.

The ability of graph neural networks (GNNs) to deal with graph data structures has made them suitable for real-life applications in social networks, bioinformatics, and navigation and planning ...