Grafne podatkovne baze in analiza vozlišč

ARNAUTOVIĆ, AZRA (author), Marc, Tilen (mentor)

Diplomska naloga preučuje uporabo grafovskih podatkovnih baz in metod analize vozlišč, s poudarkom na algoritmih za vložitev vozlišč, kot so Fast Random Projection in Node2Vec, znotraj okolja Neo4j. S kombinacijo teoretičnih konceptov in praktične uporabe je raziskano, kako tehnike vložitve vozlišč prispevajo k vpogledu v grafne strukture, ob tem pa izpostavlja ključen pomen izbire ustreznih algoritmov za doseganje analitičnih rezultatov.

• Language: Slovenian
• Keywords: graf, podatkovne baze, Neo4j, vložitev vozlišč
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FRI - Faculty of Computer and Information Science ; FMF - Faculty of Mathematics and Physics
• Year: 2024
• PID: 20.500.12556/RUL-154406
• COBISS.SI-ID: 185908739
• Publication date in RUL: 13.02.2024

Secondary language

• Language: English
• Title: Graph databases and vertex analysis

Abstract

The thesis examines the application of graph databases and node analysis methods, with an emphasis on embedding algorithms such as Fast Random Projection and Node2Vec within the Neo4j environment. Combining theoretical concepts with practical application, the study explores how node embedding techniques contribute to the accuracy and insight into graph structures, highlighting the crucial importance of selecting appropriate algorithms for achieving analytical results.

• Keywords: graph, databases, Neo4j, vertex embeddings