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 <robin.e...@xense.co.uk<mailto:robin.e...@xense.co.uk>> wrote: 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-synchronous parallel processing that is the foundation of most of the above algorithms. We cover other algorithms in our book and if you search on google you will find a number of other examples. ------------------------------------------------------------------------------- Robin East Spark GraphX in Action Michael Malak and Robin East Manning Publications Co. http://www.manning.com/books/spark-graphx-in-action On 21 Apr 2016, at 19:47, tgensol <thibaut.gensol...@gmail.com<mailto:thibaut.gensol...@gmail.com>> wrote: Hi there, I am working in a group of the University of Michigan, and we are trying to make (and find first) some Distributed graph algorithms. I know spark, and I found GraphX. I read the docs, but I only found Latent Dirichlet Allocation algorithms working with GraphX, so I was wondering why ? Basically, the groupe wants to implement Minimal Spanning Tree, kNN, shortest path at first. So my askings are : Is graphX enough stable for developing this kind of algorithms on it ? Do you know some algorithms like these working on top of GraphX ? And if no, why do you think, nobody tried to do it ? Is this too hard ? Or just because nobody needs it ? Maybe, it is only my knowledge about GraphX which is weak, and it is not possible to make these algorithms with GraphX. Thanking you in advance, Best regards, Thibaut -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/GRAPHX-Graph-Algorithms-and-Spark-tp17301.html Sent from the Apache Spark Developers List mailing list archive at Nabble.com<http://nabble.com/>. --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org<mailto:dev-unsubscr...@spark.apache.org> For additional commands, e-mail: dev-h...@spark.apache.org<mailto:dev-h...@spark.apache.org>
