Difference between revisions of "Class meeting for 10-605 Graph Architectures for ML"
From Cohen Courses
Jump to navigationJump to search(5 intermediate revisions by the same user not shown) | |||
Line 5: | Line 5: | ||
* Slides [http://www.cs.cmu.edu/~wcohen/10-605/graph-arch.pptx in powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/graph-arch.pdf in pdf] | * Slides [http://www.cs.cmu.edu/~wcohen/10-605/graph-arch.pptx in powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/graph-arch.pdf in pdf] | ||
+ | |||
+ | === Quiz === | ||
+ | |||
+ | * [https://qna.cs.cmu.edu/#/pages/view/89 Today's Quiz]. | ||
=== 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 Processing Large Graphs In Seconds] in ISWC-2010. |
=== Things to Remember and/or Think About === | === Things to Remember and/or Think About === | ||
* Differences and commonalities between the graph-processing methods discussed: Pregel, Signal-Collect, GraphX, and GraphChi. | * 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 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. | * How operations on graphs can be implemented in dataflow languages. |
Latest 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 Processing Large Graphs In Seconds 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.