Seeded graph matching via large neighborhood statistics
We study a noisy graph isomorphism problem, where the goal is to perfectly recover the vertex correspondence between two edge‐correlated graphs, with an initial seed set of correctly matched vertex pairs revealed as side information. We show that it is possible to achieve the information‐theoretic l...
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| Published in: | Random structures & algorithms Vol. 57; no. 3; pp. 570 - 611 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
John Wiley & Sons, Inc
01.10.2020
Wiley Subscription Services, Inc |
| Subjects: | |
| ISSN: | 1042-9832, 1098-2418 |
| Online Access: | Get full text |
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