E. Andersen, Sufficiency and exponential families for discrete sample spaces, Journal of the American Statistical Association, vol.65, issue.331, pp.1248-1255, 1970.

L. Bottou, Stochastic gradient learning in neural networks, Proceedings of Neuro-Nimes. EC2, 1991.

H. Chen, B. Perozzi, Y. Hu, and S. Skiena, HARP: Hierarchical representation learning for networks, AAAI, 2018.

A. Grover and J. Leskovec, Node2Vec: Scalable feature learning for networks, KDD, pp.855-864, 2016.

W. L. Hamilton, R. Ying, and J. Leskovec, Representation learning on graphs: Methods and applications, IEEE Data Eng. Bull, vol.40, issue.3, pp.52-74, 2017.

J. Leskovec, J. Kleinberg, and C. Faloutsos, Graph evolution: Densification and shrinking diameters, ACM Trans. Knowl. Discov. Data, vol.1, issue.1, 2007.

J. Leskovec and J. J. Mcauley, Learning to discover social circles in ego networks, Advances in Neural Information Processing Systems, vol.25, pp.539-547, 2012.

D. Lusseau, K. Schneider, O. J. Boisseau, P. Haase, E. Slooten et al., The bottlenose dolphin community of doubtful sound features a large proportion of long-lasting associations, Behavioral Ecology and Sociobiology, vol.54, issue.4, pp.396-405, 2003.

T. Mikolov, I. Sutskever, K. Chen, G. Corrado, and J. Dean, Distributed representations of words and phrases and their compositionality, NIPS, pp.3111-3119, 2013.

D. Nguyen and F. D. Malliaros, BiasedWalk: Biased sampling for representation learning on graphs, Big Data, pp.4045-4053, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01958902

M. Ou, P. Cui, J. Pei, Z. Zhang, and W. Zhu, Asymmetric transitivity preserving graph embedding, KDD, pp.1105-1114, 2016.

B. Perozzi, R. Al-rfou, and S. Skiena, DeepWalk: Online learning of social representations, KDD, pp.701-710, 2014.

B. Perozzi, V. Kulkarni, H. Chen, and S. Skiena, Don't walk, skip!: Online learning of multi-scale network embeddings, ASONAM, pp.258-265, 2017.

J. Qiu, Y. Dong, H. Ma, J. Li, K. Wang et al., Network embedding as matrix factorization: Unifying DeepWalk, LINE, PTE, and Node2Vec, WSDM, pp.459-467, 2018.

M. Rudolph, F. Ruiz, S. Mandt, and D. Blei, Exponential family embeddings, NIPS, pp.478-486, 2016.

P. Sen, G. Namata, M. Bilgic, L. Getoor, B. Gallagher et al., Collective classification in network data. AI magazine, 2008.

J. Tang, M. Qu, M. Wang, M. Zhang, J. Yan et al., LINE: Largescale information network embedding, WWW, pp.1067-1077, 2015.

J. Yang and J. Leskovec, Overlapping community detection at scale: A nonnegative matrix factorization approach, WSDM, pp.587-596, 2013.