Difference between revisions of "Class meeting for 10-605 GraphLab"
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| − | * [http://www.cs.cmu.edu/~wcohen/10-605/pregel-etc.pptx Pregel and other models], [http://www.cs.cmu.edu/~wcohen/10-605/pregel-etc.pdf PDF version] | + | * [http://www.cs.cmu.edu/~wcohen/10-605/pregel-etc.pptx Pregel and other models - part 1], [http://www.cs.cmu.edu/~wcohen/10-605/pregel-etc.pdf PDF version] |
| + | * [http://www.cs.cmu.edu/~wcohen/10-605/pregel-etc-2.pptx Pregel and other models - part 2], [http://www.cs.cmu.edu/~wcohen/10-605/pregel-etc-2.pdf PDF version] | ||
=== Readings === | === Readings === | ||
| − | * None required. Optional: Philip Stutz, Abraham Bernstein and William W. Cohen (2010): [http://www.cs.cmu.edu/~wcohen/postscript/iswc-2010.pdf Signal/Collect: Graph Algorithms for the (Semantic) Web] in ISWC-2010. [http://www.cs.cmu.edu/~wcohen/10-605/swj566.pdf Longer version is also available] | + | * None required. Optional: Philip Stutz, Abraham Bernstein and William W. Cohen (2010): [http://www.cs.cmu.edu/~wcohen/postscript/iswc-2010.pdf Signal/Collect: Graph Algorithms for the (Semantic) Web] in ISWC-2010. [http://www.cs.cmu.edu/~wcohen/10-605/swj566.pdf Longer version is also available]. |
| + | |||
| + | === 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 studied in class, like SSL, PIC, and LDA. | ||
| + | * How operations on graphs can be implemented in dataflow languages. | ||
Latest revision as of 18:33, 6 December 2015
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall 2015.
Slides
Readings
- None required. Optional: Philip Stutz, Abraham Bernstein and William W. Cohen (2010): Signal/Collect: Graph Algorithms for the (Semantic) Web in ISWC-2010. Longer version is also available.
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 studied in class, like SSL, PIC, and LDA.
- How operations on graphs can be implemented in dataflow languages.
