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1
Intro
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Technology
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Introduction
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Artificial Intelligence
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What are graphs
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Examples of graph theory
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Data analytics
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Data structure
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Relational databases
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Big data
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Averages
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Powerlaw Distribution
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Graph Analytics
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Isomorphic
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Game of Thrones Example
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Graph Algorithms
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Onramp
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Examples
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Graph Networks
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Machine Learning
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Connection Features
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Example
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Applications
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Query Based Feature Engineering
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Graph Algorithm Feature Engineering
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Graph Embeddings
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Graph Feature Engineering
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Graph Embedding
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Graph Neural Networks
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Resources
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the intersection of graph theory and artificial intelligence in this 57-minute Devoxx conference talk. Dive into the fundamentals of graphs, their applications in data analytics, and their role in big data processing. Discover how graph structures differ from traditional relational databases and learn about powerlaw distribution in graph analytics. Examine real-world examples, including a Game of Thrones-inspired scenario, to understand graph algorithms and isomorphism. Investigate the connection between graphs and machine learning, exploring concepts such as connection features, query-based feature engineering, and graph embeddings. Gain insights into graph neural networks and their potential applications in AI. Conclude with valuable resources for further exploration of graph-based AI technologies.

Leveraging Graphs for AI

Devoxx
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