2002
DOI: 10.1002/rsa.10058
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On characterizing hypergraph regularity

Abstract: Szemerédi's Regularity Lemma is a well-known and powerful tool in modern graph theory. This result led to a number of interesting applications, particularly in extremal graph theory. A regularity lemma for 3-uniform hypergraphs developed by Frankl and Rödl [8] allows some of the Szemerédi Regularity Lemma graph applications to be extended to hypergraphs. An important development regarding Szemerédi's Lemma showed the equivalence between the property of ⑀-regularity of a bipartite graph G and an easily verifia… Show more

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Cited by 14 publications
(62 citation statements)
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“…Such an algorithmic version is known for the case r = 1 of Lemma 5.8 (see [8]). As mentioned after Lemma 5.19, the only place where we use the (δ * , r)-regularity instead of just the (δ * , 1)-regularity is Lemma 5.19 due to Dementieva et al [4]. In fact, in [4] the authors conjecture that Lemma 5.19 even holds for r = 1, i.e.…”
Section: Algorithmic Aspectsmentioning
confidence: 90%
See 3 more Smart Citations
“…Such an algorithmic version is known for the case r = 1 of Lemma 5.8 (see [8]). As mentioned after Lemma 5.19, the only place where we use the (δ * , r)-regularity instead of just the (δ * , 1)-regularity is Lemma 5.19 due to Dementieva et al [4]. In fact, in [4] the authors conjecture that Lemma 5.19 even holds for r = 1, i.e.…”
Section: Algorithmic Aspectsmentioning
confidence: 90%
“…As mentioned after Lemma 5.19, the only place where we use the (δ * , r)-regularity instead of just the (δ * , 1)-regularity is Lemma 5.19 due to Dementieva et al [4]. In fact, in [4] the authors conjecture that Lemma 5.19 even holds for r = 1, i.e. if we only assume that the triad P is (δ * , 1)-regular.…”
Section: Algorithmic Aspectsmentioning
confidence: 90%
See 2 more Smart Citations
“…This appeal of working with the weaker 3-graph regularity is a local characterisation in terms of subgraph counts. This characterisation does not hold for large values of r in the stronger 3-graph regularity, thus working with r = 1 recovers the useful property; see [4,10].…”
Section: Definition 22 Letmentioning
confidence: 99%