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20112026
most citedStatistical inference on random dot product graphs: a survey

118 citations · 438 across the 49 of their papers we have counts for

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Showing 2014Show all

5 papers · 1 filter

math.ST2014★ 28 cited

A nonparametric two-sample hypothesis testing problem for random dot product graphs

Minh Tang, Avanti Athreya, Daniel L. Sussman +2

We consider the problem of testing whether two finite-dimensional random dot product graphs have generating latent positions that are independently drawn from the same distribution…

stat.ML2014★ 8 cited

Graph Matching: Relax at Your Own Risk

Vince Lyzinski, Donniell Fishkind, Marcelo Fiori +3

Graph matching---aligning a pair of graphs to minimize their edge disagreements---has received wide-spread attention from both theoretical and applied communities over the past sev…

stat.ME2014★ 2 cited

A semiparametric two-sample hypothesis testing problem for random dot product graphs

Minh Tang, Avanti Athreya, Daniel L. Sussman +2

Two-sample hypothesis testing for random graphs arises naturally in neuroscience, social networks, and machine learning. In this paper, we consider a semiparametric problem of two-…

math.PR2014★ 1 cited

Strong Stationary Duality for Diffusion Processes

James Allen Fill, Vince Lyzinski

We develop the theory of strong stationary duality for diffusion processes on compact intervals. We analytically derive the generator and boundary behavior of the dual process and…

stat.ML2014★ 19 cited

Seeded Graph Matching Via Joint Optimization of Fidelity and Commensurability

Heather Patsolic, Sancar Adali, Joshua T. Vogelstein +4

We present a novel approximate graph matching algorithm that incorporates seeded data into the graph matching paradigm. Our Joint Optimization of Fidelity and Commensurability (JOF…