I am new to Spark and I was wondering if anyone would help me on pointing me to the right direction: Are there any algorithms/tutorials available on Spark's GraphX for graph clustering and pattern matching?
More specifically I am interested in: a) querying a small graph against a larger graph and getting the similar subgraphs in that large graph, b) performing clustering on a large graph and then classify an incoming query graph to the clusters. I know that Mllib has K-means clustering but I am not sure how to perform the clustering on a graph as well the classification to these clusters. Any tutorial/idea/direction would be much appreciated.
