BTW, we recently had a webinar on GraphFrames at
http://go.databricks.com/graphframes-dataframe-based-graphs-for-apache-spark
On Thu, Apr 21, 2016 at 14:30 Dimitris Kouzis - Loukas
wrote:
> This thread is good. Maybe it should make it to doc or the users group
>
> On Thu, Apr 21, 2016 at 9:25 PM
This thread is good. Maybe it should make it to doc or the users group
On Thu, Apr 21, 2016 at 9:25 PM, Zhan Zhang wrote:
>
> You can take a look at this blog from data bricks about GraphFrames
>
> https://databricks.com/blog/2016/03/03/introducing-graphframes.html
>
> Thanks.
>
> Zhan Zhang
>
>
You can take a look at this blog from data bricks about GraphFrames
https://databricks.com/blog/2016/03/03/introducing-graphframes.html
Thanks.
Zhan Zhang
On Apr 21, 2016, at 12:53 PM, Robin East
mailto:robin.e...@xense.co.uk>> wrote:
Hi
Aside from LDA, which is implemented in MLLib, GraphX
Hi
Aside from LDA, which is implemented in MLLib, GraphX has the following
built-in algorithms:
PageRank/Personalised PageRank
Connected Components
Strongly Connected Components
Triangle Count
Shortest Paths
Label Propagation
It also implements a version of Pregel framework, a form of bulk-sync
Hi,
1. Yep, GraphX is stable and would be a good choice for you to implement
algorithms. For a quick intro you can refer to our Strata MLlib tutorial
GraphX slides http://goo.gl/Ffq2Az
2. GraphX has implemented algorithms like PageRank &
ConnectedComponents[1]
3. It also has prim
