Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...

Data security involves implementing strategies to safeguard digital information against unauthorized disclosure and modification across computing and communication infrastructures. Given the ...

Abstract: The Pathwidth Theorem states that if a class of graphs has unbounded pathwidth, then it contains all trees as graph minors. We prove a similar result for dense graphs: if a class of graphs ...

The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world graphs are heterogeneous in nature, from citation graphs to email graphs. However, ...

Abstract: Since the introduction of deep learning-based binary code similarity detection methods, there has been a proliferation of methods using graph neural networks to learn semantic information ...

This repository features DSA problems & solutions in Python adapted from structy.net course. I created it as a resource to help others enhance their problem-solving skills and build proficiency in ...

Рефал-05 — подмножество Рефала-5 и альтернативная реализация Рефала-5, компилирующаяся в C89. Язык Рефал-05 является точным подмножеством ...