2022
DOI: 10.1109/tit.2022.3169005
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Settling the Sharp Reconstruction Thresholds of Random Graph Matching

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Cited by 28 publications
(2 citation statements)
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“…As for random graph matching problems, so far most of the theoretical study was carried out for Erdős-Rényi graph models since Erdős-Rényi graph is arguably the most canonical random graph model. Along this line, much progress has been made recently, including information-theoretic analysis [8,9,13,14,27,31,50,59,61,62] and proposals for various efficient algorithms [4,6,10,11,[16][17][18][20][21][22]26,29,32,34,[37][38][39]43,48,49,51,54,63,64]. Despite of extensive efforts from the community, we still did not yet completely understand the computational phase transition for random graph matching.…”
Section: Background and Related Resultsmentioning
confidence: 99%
“…As for random graph matching problems, so far most of the theoretical study was carried out for Erdős-Rényi graph models since Erdős-Rényi graph is arguably the most canonical random graph model. Along this line, much progress has been made recently, including information-theoretic analysis [8,9,13,14,27,31,50,59,61,62] and proposals for various efficient algorithms [4,6,10,11,[16][17][18][20][21][22]26,29,32,34,[37][38][39]43,48,49,51,54,63,64]. Despite of extensive efforts from the community, we still did not yet completely understand the computational phase transition for random graph matching.…”
Section: Background and Related Resultsmentioning
confidence: 99%
“…Persuasion, at times, involves exerting one's influence on others, which is why it is often viewed as a contentious endeavor. As per Sophie (2022), the Persuasion Knowledge Theory suggests that consumers have developed what is known as "persuasion knowledge" -the ability to recognize attempts by marketers to influence them. In today's world, consumers are increasingly aware of marketers' motives.…”
Section: Theoretical Frameworkmentioning
confidence: 99%