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.
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