TY - GEN
T1 - Seeded graph matching
T2 - 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
AU - Shirani, Farhad
AU - Garg, Siddharth
AU - Erkip, Elza
PY - 2017/7/2
Y1 - 2017/7/2
N2 - In this paper, a new information theoretic framework for graph matching is introduced. Using this framework, the graph isomorphism and seeded graph matching problems are studied. The maximum degree algorithm for graph isomorphism is analyzed and sufficient conditions for successful matching are rederived using type analysis. Furthermore, a new seeded matching algorithm with polynomial time complexity is introduced. The algorithm uses 'typicality matching' and techniques from point-to-point communications for reliable matching. Assuming an Erdös-Renyi model on the correlated graph pair, it is shown that successful matching is guaranteed when the number of seeds grows logarithmically with the number of vertices in the graphs. The logarithmic coefficient is shown to be inversely proportional to the mutual information between the edge variables in the two graphs.
AB - In this paper, a new information theoretic framework for graph matching is introduced. Using this framework, the graph isomorphism and seeded graph matching problems are studied. The maximum degree algorithm for graph isomorphism is analyzed and sufficient conditions for successful matching are rederived using type analysis. Furthermore, a new seeded matching algorithm with polynomial time complexity is introduced. The algorithm uses 'typicality matching' and techniques from point-to-point communications for reliable matching. Assuming an Erdös-Renyi model on the correlated graph pair, it is shown that successful matching is guaranteed when the number of seeds grows logarithmically with the number of vertices in the graphs. The logarithmic coefficient is shown to be inversely proportional to the mutual information between the edge variables in the two graphs.
UR - http://www.scopus.com/inward/record.url?scp=85050963697&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050963697&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2017.8335178
DO - 10.1109/ACSSC.2017.8335178
M3 - Conference contribution
AN - SCOPUS:85050963697
T3 - Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
SP - 253
EP - 257
BT - Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
A2 - Matthews, Michael B.
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 October 2017 through 1 November 2017
ER -