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arXiv 2609.19943cs.DS

图流中可重复与可遗忘边的三角形计数

Counting Triangles in Graph Streams with Repeatable and Forgettable Edges

  • Indian Statistical Institute(印度统计研究所)
  • Iowa State University(爱荷华州立大学)
  • Reykjavik University(雷克雅未克大学)
  • University of Nebraska–Lincoln(内布拉斯加大学林肯分校)

机构由 AI 辅助整理,请以论文原文为准。

Sourav Chakraborty, Debarshi Chanda, Arijit Ghosh, A. Pavan, Chhaya Trehan, N. V. Vinodchandran

中文总结 AI 辅助

针对图流中边可重复到达的现实场景,提出具有最优空间复杂度的三角形计数算法,并扩展至可遗忘边模型,实现单遍及常数遍近似计算。

中文摘要 AI 辅助

大多数现有的图流算法假设理想场景,即每条边仅到达一次。现实世界的图流,如通信或事务日志,通常包含同一条边的多次重复出现。一般来说,为单次边到达情况开发的算法在边可以多次到达时可能会失效。受此启发,我们研究了重复边到达图流模型,其中一条边允许到达多次。在这项工作中,我们研究了重复边到达模型中的三角形计数问题:在任意边重复的情况下,近似计算底层简单图中的三角形数量。我们设计了首批具有最优空间复杂度的三角形计数算法。特别地,我们提出了一种单遍算法,以最优空间复杂度计算三角形数量的(ε,δ)-近似。我们引入了右遗忘图流(RFGS)模型,其中遗忘操作可能导致一条边的所有先前出现消失。我们证明了我们的单遍算法可以扩展到RFGS模型,并保持最优空间复杂度。最后,我们提出了最优的常数遍算法,用于计算重复边到达图流中三角形和团的数量(ε,δ)-近似。

英文摘要

Most existing graph streaming algorithms assume the ideal scenario where each edge arrives only once. Real-world graph streams, such as communication or transaction logs, often contain many repeated occurrences of the same edge. In general, the algorithms developed for the single-edge arrival case can fail when edges can arrive multiple times. Motivated by this, we study the {\em repeated-edge arrival graph streaming model} where an edge is allowed to arrive multiple times. In this work, we study the triangle counting problem in the repeated-edge arrival model: approximate the number of triangles in the underlying {\em simple graph} despite arbitrary edge repetitions. We design the first algorithms for triangle counting with optimal space complexity. In particular, we present a single-pass algorithm that computes an $(\varepsilon,δ)$-approximation of the number of triangles with optimal space complexity. We introduce {\em right-to-be-forgotten graph streaming} (RFGS) model, where a forget operation can cause all previous occurrences of an edge to disappear. We show that our single-pass algorithm can be extended to the RFGS model with optimal space complexity. Finally, we present optimal constant-pass algorithms that compute an $(\varepsilon,δ)$-approximation of the number of triangles and cliques for the repeated-edge arrival graph streams.

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