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比利时vs摩洛哥足彩 ,
university of california san diego

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math 288

dr. ludovic stephan

epfl

non-backtracking methods for community detection and beyond

abstract:

a lot of graph inference problems consist in finding a low-rank structure planted in the adjacency matrix of the graph. when sparse enough, the simple study of the adjacency matrix is not enough; the individual variance of each vertex influences too much the overall spectrum of $a$. in contrast, we show how the non-backtracking matrix $b$ recovers these low-rank structures more consistently. this generalizes the results of bordenave et al. (2015) to a much wider range of settings, beyond the classical stochastic block model.

november 10, 2022

11:00 am

room 6402 with live streaming. zoom id: 947 1948 3503. email poagarwal@ucsd.edu for password

research areas

probability theory

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