计数三角形下更新在最坏情况下的最佳时间

A. Kara, H. Ngo, M. Nikolic, Dan Olteanu, Haozhe Zhang
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引用次数: 30

摘要

我们考虑在输入关系的单元组更新下增量维护三角形计数查询的问题。我们介绍了一种展示时空权衡的方法,使得时空积在输入数据库的大小上是二次的,更新时间可以低到这个大小的平方根。这种最低更新时间是最坏情况下最优条件下的在线矩阵-向量乘法猜想。经典增量视图维护方法和因式增量视图维护方法被恢复为我们的方法在时空权衡中的特殊情况。特别是,它们需要线性时间更新维护,这是次优的。我们的方法还恢复了在非增量设置中计算三角形计数的最坏情况下的最佳时间复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Counting Triangles under Updates in Worst-Case Optimal Time
We consider the problem of incrementally maintaining the triangle count query under single-tuple updates to the input relations. We introduce an approach that exhibits a space-time tradeoff such that the space-time product is quadratic in the size of the input database and the update time can be as low as the square root of this size. This lowest update time is worst-case optimal conditioned on the Online Matrix-Vector Multiplication conjecture. The classical and factorized incremental view maintenance approaches are recovered as special cases of our approach within the space-time tradeoff. In particular, they require linear-time update maintenance, which is suboptimal. Our approach also recovers the worst-case optimal time complexity for computing the triangle count in the non-incremental setting.
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