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https://issues.apache.org/jira/browse/FLINK-3879?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15280246#comment-15280246
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Vasia Kalavri commented on FLINK-3879:
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[~greghogan]
- Do we agree that the PR for FLINK-2044 is now in good state and could be
merged? Or would you rather benchmark this against it and go for the most
performant one?
- Gelly library methods: currently there are scatter-gather and GSA
implementations for PageRank, Connected Components, and SSSP. We have these
because GSA performs better for graphs with skewed degree distributions. In the
Gelly docs-[iteration abstractions
comparison|https://ci.apache.org/projects/flink/flink-docs-master/apis/batch/libs/gelly.html#iteration-abstractions-comparison],
we describe when GSA should be preferred over scatter-gather. Maybe we can
make this more explicit.
There is no Pregel implementation (only in examples). The {{GSATriangleCount}}
library method has proved to be very inefficient and should be removed imo
(I'll open a JIRA).
- I'm not sure what you mean by "approximate HITS"?
> Native implementation of HITS algorithm
> ---------------------------------------
>
> Key: FLINK-3879
> URL: https://issues.apache.org/jira/browse/FLINK-3879
> Project: Flink
> Issue Type: New Feature
> Components: Gelly
> Affects Versions: 1.1.0
> Reporter: Greg Hogan
> Assignee: Greg Hogan
> Fix For: 1.1.0
>
>
> Hyperlink-Induced Topic Search (HITS, also "hubs and authorities") is
> presented in [0] and described in [1].
> "[HITS] is a very popular and effective algorithm to rank documents based on
> the link information among a set of documents. The algorithm presumes that a
> good hub is a document that points to many others, and a good authority is a
> document that many documents point to."
> [https://pdfs.semanticscholar.org/a8d7/c7a4c53a9102c4239356f9072ec62ca5e62f.pdf]
> This implementation differs from FLINK-2044 by providing for convergence,
> outputting both hub and authority scores, and completing in half the number
> of iterations.
> [0] http://www.cs.cornell.edu/home/kleinber/auth.pdf
> [1] https://en.wikipedia.org/wiki/HITS_algorithm
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