Learning the gene coexpression pattern is a central challenge for high-dimensional gene expression analysis. Recently, sparse singular value decomposition (SVD) has been used to achieve this goal.

Solution to a graph theory problem meeting a specific time complexity constraint. Developed in C++ using the breadth-first search algorithm. Created in December 2021 as part of the Design and Analysis ...

A comprehensive collection of Data Structures and Algorithms implemented in C. Includes Linked Lists, Stacks, Queues, Trees, Graphs, Sorting & Searching algorithms with detailed explanations and code.

Adversarial attacks can fool powerful graph neural networks by subtly modifying input data's graph topology or node attributes. Attackers usually regard the whole graph or local subgraphs as an ...