Data partitioning is the most fundamental procedure before parallelizing complex analysis on very big graphs. As a classical NP-complete problem, graph partitioning usually employs offline or ...

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...