Massively Parallel Graph Computation: From Theory to Practice

Posted by Jakub Łącki and Vahab Mirrokni, Research Scientists, Google Research Graphs are useful theoretical representations of the connections between groups of entities, and have been used for a variety of purposes in data science, from ranking web pages by popularity and mapping out social networks, to assisting with navigation. In many cases, such applications require the processing of graphs containing hundreds of billions of edges, which is far too large to be processed on a single consum...

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