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We select landmarks to serve online graph exploration.
Therefore, effective distance estimation as well as efficient shortest path retrieving are essential for online graph queries.
However, online graph query which finds various applications in real practice does not attract much research effort, especially the highly selective queries which has an limited output size.
The distance estimation and guided graph exploration technique elaborated above can serve as fundamental building blocks for various online graph queries.
We apply our methods to two types of online graph queries: distance join and vertex set bonding, which captures interesting graph patterns and structure-wise prominent vertices, respectively.
In this paper, we study two fundamental building blocks for distance-aware online graph query: fast and accurate distance estimation, as well as guided graph exploration.
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