K. Avrachenkov, P. Gonçalves, A. Legout, and M. Sokol, Classification of Content and Users in BitTorrent by Semi-supervised Learning Methods, International Wireless Communications and Mobile Computing Conference (3rd International Workshop on Traffic Analysis and Classification), 2012.
URL : https://hal.archives-ouvertes.fr/hal-00747641

A. Subramanya and J. Bilmes, Soft-supervised learning for text classification, Proceedings of the Conference on Empirical Methods in Natural Language Processing. EMNLP '08, pp.1090-1099, 2008.

M. Zhao, R. H. Chan, T. W. Chow, and P. Tang, Compact graph based semi-supervised learning for medical diagnosis in alzheimer's disease, IEEE Signal Processing Letters, vol.21, issue.10, pp.1192-1196, 2014.

R. Fontugne, E. Bautista, C. Petrie, Y. Nomura, P. Abry et al., BGP Zombies: an Analysis of Beacons Stuck Routes, PAM 2019 -20th Passive and Active Measurements Conference, pp.1-13, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01970596

F. Chung, Pagerank as a discrete green's function. Geometry and Analysis I ALM, 2010.

K. Avrachenkov, A. Kadavankandy, and N. Litvak, Mean Field Analysis of Personalized PageRank with Implications for Local Graph Clustering, Journal of Statistical Physics, vol.173, issue.3-4, pp.895-916, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01936016

N. Litvak, W. Scheinhardt, Y. Volkovich, and B. Zwart, Characterization of tail dependence for in-degree and pagerank, pp.90-103, 2009.

F. Chung, Four cheeger-type inequalities for graph partitioning algorithms, Proceedings of ICCM, 2007.

K. Avrachenkov, V. Dobrynin, D. Nemirovsky, S. K. Pham, and E. Smirnova, Pagerank based clustering of hypertext document collections, Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.873-874, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00565355

F. C. Graham, P. Horn, and A. Tsiatas, Distributing antidote using pagerank vectors, Internet Mathematics, vol.6, pp.237-254, 2009.

R. Andersen, R. K. Chung, F. , J. Lang, and K. , Using pagerank to locally partition a graph, Internet Mathematics, vol.4, pp.35-64, 2007.

R. Andersen and F. Chung, Detecting sharp drops in pagerank and a simplified local partitioning algorithm, Theory and Applications of Models of Computation, pp.1-12, 2007.

D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf, Learning with local and global consistency, Advances in Neural Information Processing Systems, vol.16, pp.321-328, 2004.

D. Zhou and C. J. Burges, Spectral clustering and transductive learning with multiple views, Proceedings of the 24th International Conference on Machine Learning. ICML '07, pp.1159-1166, 2007.

K. Avrachenkov, P. Gonçalves, A. Mishenin, and M. Sokol, Generalized Optimization Framework for Graph-based Semi-supervised Learning, SIAM Data Mining, 2012.
URL : https://hal.archives-ouvertes.fr/inria-00633818

X. Zhou and M. Belkin, Semi-supervised learning by higher order regularization, Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research, vol.15, pp.892-900, 2011.

A. Tsiatas, Diffusion and clustering on large graphs, 2012.

M. Sokol, Graph-based semi-supervised learning methods and quick detection of central nodes, Ecole Doctorale STIC, 2014.
URL : https://hal.archives-ouvertes.fr/tel-00998394

A. Pérez-riascos and J. Mateos, Fractional dynamics on networks: Emergence of anomalous diffusion and lévy flights, Physical Review E, vol.90, p.32809, 2014.

S. De-nigris, E. Bautista, P. Abry, K. Avrachenkov, and P. Goncalves, Fractional graph-based semi-supervised learning, 2017 25th European Signal Processing Conference (EUSIPCO), pp.356-360, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01586767

E. Bautista, S. De-nigris, P. Abry, K. Avrachenkov, and P. Gonçalves, Lévy Flights for Graph Based Semi-Supervised Classification, 26th Colloquium GRETSI. GRETSI, 2017 -Proceeding of the 26th colloquium, 2017.

D. I. Shuman, P. Vandergheynst, D. Kressner, and P. Frossard, Distributed signal processing via chebyshev polynomial approximation, IEEE Transactions on Signal and Information Processing over Networks, vol.4, issue.4, pp.736-751, 2018.

E. Mossel, J. Neeman, and A. Sly, Reconstruction and estimation in the planted partition model, Probability Theory and Related Fields, vol.162, issue.3, pp.431-461, 2015.

P. Zhang, C. Moore, and L. Zdeborova, Phase transitions in semisupervised clustering of sparse networks, Physical review. E, Statistical, nonlinear, and soft matter physics, p.90, 2014.

B. W. Matthews, Comparison of the predicted and observed secondary structure of t4 phage lysozyme, Biochimica et Biophysica Acta (BBA) -Protein Structure, vol.405, issue.2, pp.442-451, 1975.

Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, Gradient-based learning applied to document recognition, Proceedings of the IEEE, vol.86, issue.11, pp.2278-2324, 1998.

D. Hond and L. Spacek, Distinctive descriptions for face processing, 1997.

D. Greene and P. Cunningham, Practical solutions to the problem of diagonal dominance in kernel document clustering, Proceedings of the 23rd International Conference on Machine Learning. ICML '06, pp.377-384, 2006.

S. H. Rice, The expected value of the ratio of correlated random variables, 2015.