Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,002

The DOI matches its Crossref record.

Color-coding

Open access
Alon, Noga, Yuster, Raphael, Zwick, Uri·1995·Journal of the ACM

Abstract

We describe a novel randomized method.the method of cobm-coding for finding simple paths and cycles of a specified length k, and other small subgraphs, within a gwen graph G = ( 1', E).The randomized algorithms obtained using this method can be derandomlzcd using kmihes of petfect hash f~wtctmns.Using the color-coding method we obtain.m particular, the following new results:-For every fixed k, if a graph G = (V.E) contains a simple cycle of size exactly k, then such a cycle can be found m either 0( V'") expected time or 0( L'"' log P') worst-case t]mc, where w < ?,376 ]s the exponent of matrrx multiplication.(Here and in what follows we use V and E instead of Ib' and IEI whenever no confusion may arise.)-For every fwed k, if a planar graph G = (P-, E) contains a simple cycle of size e.wrctly k, then such a cycle cmr be found m either 0(V) expected time or 0( V log V ) worst-case time.The same algorithm applies, in fact, not only to planar gmphs, but to any mino~closed family of graphs which is not the f~mily of all graphs, -If a grdph G = (V, E) contains a subgraph isomorphic to a boanded tree-width graph H = ( V~, E~) where IV, I = O(log V), then such a copy of H can be found in polyzonzml tune.This was not prewously known even if H were Just a path of length O(log V).These results improve upon previous results of many authors.The third result resolves in the affirmative a conjecture of Papadimltnou and Yannakakis that the LOG PATH problem is m P. We can show that it is even in NC.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/210332.210337

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,002

Metadata

Authors
Alon, N., Yuster, R., & Zwick, U.
Venue
Journal of the ACM
Published
1995-07
Volume
42
Issue
4
Pages
844-856
ISSN
  • 0004-5411 (ISSN-L)
  • 1557-735X
OpenAlex
W2296148711
Cited by
1,002
References
0
FWCI
5.61
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Color-coding. https://app.cochat.ai/papers/10.1145/210332.210337
The paper
Alon, N., Yuster, R., & Zwick, U. (1995). Color-coding. Journal of the ACM. https://doi.org/10.1145/210332.210337

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.