Difference between revisions of "Class meeting for 10-605 Subsampling a Graph"
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* [http://dl.acm.org/citation.cfm?id=1150479 Samping from Large Graphs], Jure Leskovec and Christos Faloutsos, KDD 2006. | * [http://dl.acm.org/citation.cfm?id=1150479 Samping from Large Graphs], Jure Leskovec and Christos Faloutsos, KDD 2006. | ||
* [http://www.math.ucsd.edu/~fan/wp/localpartition.pdf Local Graph Partitioning using PageRank Vectors], Andersen, Chung, Lang, FOCS 2006 | * [http://www.math.ucsd.edu/~fan/wp/localpartition.pdf Local Graph Partitioning using PageRank Vectors], Andersen, Chung, Lang, FOCS 2006 | ||
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* [http://link.springer.com/chapter/10.1007/978-3-540-77004-6_13#page-1 Andersen, Reid, Fan Chung, and Kevin Lang. "Local partitioning for directed graphs using PageRank." Algorithms and Models for the Web-Graph. Springer Berlin Heidelberg, 2007. 166-178.] | * [http://link.springer.com/chapter/10.1007/978-3-540-77004-6_13#page-1 Andersen, Reid, Fan Chung, and Kevin Lang. "Local partitioning for directed graphs using PageRank." Algorithms and Models for the Web-Graph. Springer Berlin Heidelberg, 2007. 166-178.] | ||
Revision as of 17:32, 17 October 2016
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall_2016.
Slides
Readings
- Samping from Large Graphs, Jure Leskovec and Christos Faloutsos, KDD 2006.
- Local Graph Partitioning using PageRank Vectors, Andersen, Chung, Lang, FOCS 2006
Optional:
Key things to remember
- How to implement graph algorithms like PageRank by streaming through a graph, under various conditions:
- Vertex weights fit in memory
- Vertex weights do not fit in memory
- The meaning of various graph statistics: degree distribution, clustering coefficient, ...
- Why sampling from a graph is non-trivial if you want to preserve properties of the graph like
- Degree distribution
- Homophily as measured by clustering coefficient,
- What local graph partitioning is and how the PageRank-Nibble algorithm, together with sweeps to optimize conductance, can be used to approximately solve it.
- The implications of the analysis of PageRank-Nibble.
