Characterization of random matrix eigenvectors for stochastic block model. - Arun Kadavankandy; Laura Cottatellucci; Konstantin Avrachenkov (ACSSC, 2015)

PageRank in Undirected Random Graphs. - Konstantin Avrachenkov; Arun Kadavankandy; Liudmila Ostroumova Prokhorenkova; Andrei M. Raigorodskii (WAW, 2015)

Spectral properties of random matrices for stochastic block model. - Konstantin Avrachenkov; Laura Cottatellucci; Arun Kadavankandy (WiOpt, 2015)

Characterization of L1-norm statistic for anomaly detection in Erdős Rényi graphs. - Arun Kadavankandy; Laura Cottatellucci; Konstantin Avrachenkov (CDC, 2016)

Comparison of Random Walk Based Techniques for Estimating Network Averages. - Konstantin Avrachenkov; Vivek S. Borkar; Arun Kadavankandy; Jithin Kazuthuveettil Sreedharan (CSoNet, 2016)

Subgraph Detection with cues using Belief Propagation. - Arun Kadavankandy; Konstantin Avrachenkov; Laura Cottatellucci; Rajesh Sundaresan (CoRR, 2016)

Belief propagation for subgraph detection with imperfect side-information. - Arun Kadavankandy; Konstantin Avrachenkov; Laura Cottatellucci; Rajesh Sundaresan (ISIT, 2017)

Spectral analysis of random graphs with application to clustering and sampling. (L'analyse spectrale des graphes aléatoires et son application au groupement et l'échantillonnage). - Arun Kadavankandy (2017)

Mean Field Analysis of Personalized PageRank with Implications for Local Graph Clustering. - Konstantin Avrachenkov; Arun Kadavankandy; Nelly Litvak (CoRR, 2018)

The Power of Side-Information in Subgraph Detection. - Arun Kadavankandy; Konstantin Avrachenkov; Laura Cottatellucci; Rajesh Sundaresan (IEEE Trans. Signal Process., 2018)

Asymptotic Gaussian Fluctuations of Spectral Clustering Eigenvectors. - Arun Kadavankandy; Romain Couillet (CAMSAP, 2019)