Difference between revisions of "Class meeting for 10-605 Graph Architectures for ML"
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=== Readings === | === Readings === | ||
− | * Philip Stutz, Abraham Bernstein and William W. Cohen (2010): [http://www.cs.cmu.edu/~wcohen/ | + | * Philip Stutz, Abraham Bernstein and William W. Cohen (2010): [http://www.cs.cmu.edu/~wcohen/10-605/swj566.pdf Signal/Collect: Graph Algorithms for the (Semantic) Web] in ISWC-2010. |
=== Things to Remember and/or Think About === | === Things to Remember and/or Think About === |
Revision as of 13:57, 9 November 2017
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall 2016.
Slides
- Slides in powerpoint, in pdf
Quiz
Readings
- Philip Stutz, Abraham Bernstein and William W. Cohen (2010): Signal/Collect: Graph Algorithms for the (Semantic) Web in ISWC-2010.
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.