Dataset of large graphs for classifiction

Question

I want to evaluate a graph kernel designed for large graphs (> 10^6 nodes). Hence, I'm looking for suitable graph data sets, i.e., a set of (huge) graphs and corresponding classes.

Any ideas?

What type of graphs are you looking for? Would twitter data help? — sheß, Sep 17 '15 at 12:38
@sheß: Both directed and undirected graphs are fine. Each graph should belong to a class so I can perform classification. Could you please elaborate on the twitter data. — Christopher, Sep 17 '15 at 13:06

score 2 · Answer 1 · answered Sep 17 '15 at 15:07

2

Try Stanford Large Network Dataset Collection

https://snap.stanford.edu/data/egonets-Facebook.html[ is facebook and has undirected graphs

Directed graphs twitter is listed undirected and directed graphs.

Hope it answer your question.

answered Sep 17 '15 at 15:07

n1tk

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Thanks, I'm aware of SNAP. Unfortunately, most of the datasets consist of a single large graph. – Christopher Sep 17 '15 at 16:16
Than will be need to build on your own. Check databricks graphX https://databricks-training.s3.amazonaws.com/graph-analytics-with-graphx.html – n1tk Sep 17 '15 at 16:25
@Christopher. how large do you need? – n1tk Sep 17 '15 at 22:47
@sb709: Let's say 100 graphs for each class (two classes are sufficient), each graph should have at least 10^6 nodes. – Christopher Sep 18 '15 at 13:02

Dataset of large graphs for classifiction

1 Answers1