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Paper: Efficient Subgraph Matching on Billion Node Graphs

Papers from VLDB 2012 are starting to surface. Authored by a Chinese team, the “Efficient Subgraph Matching on Billion Node Graphs” paper is introducing a new algorithm optimized for large scale graphs:

We present a novel algorithm that supports efficient subgraph matching for graphs deployed on a distributed memory store. Instead of relying on super-linear indices, we use efficient graph exploration and massive parallel computing for query processing. Our experimental results demonstrate the feasibility of performing subgraph matching on web-scale graph data.

Comparison of space and time complexity of other subgraph matching algorithms:

Subgraph Matching Methods

Original title and link: Paper: Efficient Subgraph Matching on Billion Node Graphs (NoSQL database©myNoSQL)