Testing graphs against an unknown distribution

Lior Gishboliner, Asaf Shapira

Research output: Contribution to journalArticlepeer-review


The area of graph property testing seeks to understand the relation between the global properties of a graph and its local statistics. In the classical model, the local statistics of a graph is defined relative to a uniform distribution over the graph’s vertex set. A graph property P is said to be testable if the local statistics of a graph can allow one to distinguish between graphs satisfying P and those that are far from satisfying it. Goldreich recently introduced a generalization of this model in which one endows the vertex set of the input graph with an arbitrary and unknown distribution, and asked which of the properties that can be tested in the classical model can also be tested in this more general setting. We completely resolve this problem by giving a (surprisingly “clean ”) characterization of these properties. To this end, we prove a removal lemma for vertex weighted graphs which is of independent interest.

Original languageEnglish
Pages (from-to)787-837
Number of pages51
JournalIsrael Journal of Mathematics
Issue number2
StatePublished - Oct 2021

All Science Journal Classification (ASJC) codes

  • General Mathematics


Dive into the research topics of 'Testing graphs against an unknown distribution'. Together they form a unique fingerprint.

Cite this