This talk explores Java code structure analysis using Graphs. It provides an introduction to Graphs and underscores their significance in both Graph Analysis and the field of Graph Data Science. The journey begins with exploring queries to analyze code dependencies and progresses to the application of graph algorithms for tasks such as community detection, centrality, and similarity. Additionally, the talk provides an introduction to node embeddings for machine learning. By the end of this presentation, software professionals will be well-equipped to extract valuable insights from Java code bases effectively.
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graph algorithms
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