Class meeting for 10-405 Graph Architectures for ML

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This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-405 in Spring 2018.

Contents

Slides

Quiz

Readings

Things to Remember and/or Think About

  • Differences and commonalities between the graph-processing methods discussed: Pregel, Signal-Collect, GraphX, and GraphChi.
  • How graph-processing approaches could be used for ML problems that will be studied in class, like SSL, PIC, and LDA.
  • How operations on graphs can be implemented in dataflow languages.