Similarities on graphs: Kernels versus proximity measures
1
Network Engineering and Operations
Publication type: Journal Article
Publication date: 2019-08-01
scimago Q1
wos Q2
SJR: 1.398
CiteScore: 2.2
Impact factor: 0.9
ISSN: 01956698, 10959971
Discrete Mathematics and Combinatorics
Abstract
We analytically study proximity and distance properties of various kernels and similarity measures on graphs. This helps to understand the mathematical nature of such measures and can potentially be useful for recommending the adoption of specific similarity measures in data analysis.
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Metrics
14
Total citations:
14
Citations from 2024:
2
(14.29%)
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GOST
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Avrachenkov K., Chebotarev P., Rubanov D. Similarities on graphs: Kernels versus proximity measures // European Journal of Combinatorics. 2019. Vol. 80. pp. 47-56.
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Avrachenkov K., Chebotarev P., Rubanov D. Similarities on graphs: Kernels versus proximity measures // European Journal of Combinatorics. 2019. Vol. 80. pp. 47-56.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.ejc.2018.02.002
UR - https://doi.org/10.1016/j.ejc.2018.02.002
TI - Similarities on graphs: Kernels versus proximity measures
T2 - European Journal of Combinatorics
AU - Avrachenkov, Konstantin
AU - Chebotarev, Pavel
AU - Rubanov, Dmytro
PY - 2019
DA - 2019/08/01
PB - Elsevier
SP - 47-56
VL - 80
SN - 0195-6698
SN - 1095-9971
ER -
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BibTex (up to 50 authors)
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@article{2019_Avrachenkov,
author = {Konstantin Avrachenkov and Pavel Chebotarev and Dmytro Rubanov},
title = {Similarities on graphs: Kernels versus proximity measures},
journal = {European Journal of Combinatorics},
year = {2019},
volume = {80},
publisher = {Elsevier},
month = {aug},
url = {https://doi.org/10.1016/j.ejc.2018.02.002},
pages = {47--56},
doi = {10.1016/j.ejc.2018.02.002}
}