NODES 2025 - See What the Graph Sees: Demystifying PageRank Through Visual Storytelling

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9 learners

What you'll learn

This course includes

51.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

Ever wondered what truly happens inside the PageRank algorithm as it unfolds? This talk invites you to slow down and visualize the inner workings of one of the most iconic graph algorithms. Instead of treating Neo4j Graph Data Science as a black box, we’ll crack it open, capturing intermediate states, tracking iterations, and observing how influence propagates across a network. Using Neo4j Bloom, NeoDash, and graph state machines, we’ll bring PageRank to life through visual storytelling. Whether you’re a curious beginner or a seasoned GDS user, you’ll walk away with a deeper, more intuitive understanding of how PageRank operates—step by step, byte by byte. Speaker: Nicolas Rouyer Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph