Super Data Science: ML & AI Podcast with Jon Krohn 923: Graph Algorithms, GraphRAG and Causal Graphs, with Graph Guru Amy Hodler
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Sep 16, 2025 
Join graph analytics expert Amy Hodler, Founder of Graph Geeks, as she uncovers the surprising power of graphs beyond traditional data. Delve into how graphs can reveal fraudulent behaviors, and explore their applications in cybersecurity and supply chain analysis. Amy also discusses the potential of retrieval augmented generation (RAG) and its enhancements through graph algorithms for AI. Plus, discover how the graph community is evolving and the future innovations shaping this exciting field.
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Graphs Represent Relations, Not Plots
- A graph models entities as nodes and relationships as edges, capturing nouns and verbs in data.
- Property graphs let nodes and edges carry flexible attributes for rich modeling.
How A Curiosity About IoT Led To Graphs
- Amy fell into graphs while investigating unusual IoT device behavior at Hitachi and studying network science.
- A friend at Cray introduced her to a graph engine and she never looked back.
Graphs Expose Multi-Touch Crime Patterns
- Graphs reveal multi-touch, multi-actor patterns that rows and tables miss, which is critical for detecting fraud and money laundering.
- Graphs expose breadcrumbs over time and the collaborators behind illicit behavior.
