Graph Powered Machine Learning

A talk by Jörg Schad
Head of Machine Learning, ArangoDB

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About this talk

Many powerful Machine Learning algorithms are based on graphs, e.g., Page Rank (Pregel), Recommendation Engines (collaborative filtering), text summarization, and other NLP tasks.

There are even more applications once we consider data pre-processing and feature engineering which are both vital tasks in Machine Learning Pipelines.

In this workshop, we will overview the intersection of graphs and Machine Learning from Graph Analytics to Graph Neural Networks.

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Categories covered by this talk

Jörg Schad

Jörg Schad is Head of Engineering and Machine Learning at ArangoDB.

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