Space Complexity Dichotomies for Subgraph Finding Problems in the Streaming Model
Yu-Sheng Shih, Meng-Tsung Tsai, Yen-Chu Tsai, and Ying-Sian Wu

TL;DR
This paper establishes a complete classification of the space complexity for various subgraph detection problems in streaming models, revealing precise conditions under which efficient algorithms are possible.
Contribution
It provides a comprehensive dichotomy theorem for four variants of subgraph finding problems in streaming, characterizing when they admit sublinear space algorithms.
Findings
Sub$(H)$ solvable with polylog passes iff H is bipartite.
IndSub$(H)$ solvable iff H is P3, P4, or co-P3.
Sub$(oldsymbol{H})$ solvable iff each component is well-oriented bipartite or a specific tree.
Abstract
We study the space complexity of four variants of the standard subgraph finding problem in the streaming model. Specifically, given an -vertex input graph and a fixed-size pattern graph, we consider two settings: undirected simple graphs, denoted by and , and oriented graphs, denoted by and . Depending on the setting, the task is to decide whether contains as a subgraph or as an induced subgraph, or whether contains as a subgraph or as an induced subgraph. Let Sub, IndSub, Sub, and IndSub denote these four variants, respectively. An oriented graph is well-oriented if it admits a bipartition in which every arc is oriented from one part to the other, and a vertex is non-well-oriented if both its in-degree and out-degree are non-zero. For each variant, we obtain a complete dichotomy theorem, briefly…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Caching and Content Delivery
