Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks, Multiple Regression: Testing and Interpreting Interactions, vol.45, pp.21544-21549, 1994. ,
Fast unfolding of communities in large networks, J Stat Mech Theory Exp, issue.10, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-01146070
, Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking, vol.21, 2017.
Geometric deep learning: Going beyond euclidean data, IEEE Signal Proc Mag, vol.34, issue.4, pp.18-42, 2017. ,
, Spectral Networks and Locally Connected Networks on Graphs, 2013.
A comprehensive survey of graph embedding: Problems, techniques, and applications, IEEE Trans Knowl Data Eng, vol.30, issue.9, pp.1616-1637, 2018. ,
Grarep: Learning graph representations with global structural information, Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. CIKM '15, 2015. ,
Deep neural networks for learning graph representations, Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. AAAI'16, pp.1145-1152, 2016. ,
Emerging topic detection on twitter based on temporal and social terms evaluation, Proceedings of the Tenth International Workshop on Multimedia Data Mining, 2010. ,
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks, Proceedings of the 35th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol.80, pp.794-803, 2018. ,
StellarGraph Machine Learning Library, 2018. ,
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering, Advances in Neural Information Processing Systems, vol.29, pp.3844-3852, 2016. ,
Convolutional Networks on Graphs for Learning Molecular Fingerprints, Advances in Neural Information Processing Systems 28, pp.2224-2232, 2015. ,
Community detection in graphs, Phys Rep, vol.486, issue.3-5, pp.75-174, 2010. ,
Community detection in networks: A user guide, Phys Rep, vol.659, pp.1-44, 2016. ,
Deep Attributed Network Embedding, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). IJCAI-18. International Joint Conferences on Artificial Intelligence, vol.20, pp.3364-3370, 2007. ,
Understanding the difficulty of training deep feedforward neural networks, Proceedings of the Thirteenth International Conference on Artificial Intelligence And Statistics. PMLR, Sardinia, pp.249-256, 2010. ,
Social Networks, The Strength of Weak Ties. In: Leinhardt S (ed), pp.347-367, 1977. ,
Node2vec: Scalable feature learning for networks, Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD '16, pp.855-864, 2016. ,
The speech community, Linguist Anthropol A Read, vol.1, p.66, 2009. ,
Advances in Neural Information Processing Systems 30, pp.1024-1034, 2017. ,
Stochastic blockmodels: First steps, Soc Netw, vol.5, issue.2, pp.109-137, 1983. ,
Link prediction in the twitter mention network: impacts of local structure and similarity of interest, IEEE 16th International Conference On. IEEE, pp.454-461, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01403301
Flux: Elegant machine learning with julia, J Open Source Softw, 2018. ,
Data clustering: 50 years beyond k-means, Pattern Recog Lett, vol.31, issue.8, pp.651-666, 2010. ,
Adam: A Method for Stochastic Optimization, 2014. ,
, Auto-Encoding Variational Bayes, 2013.
, Neural Relational Inference for Interacting Systems, 2018.
, Semi-Supervised Classification with Graph Convolutional Networks, 2016.
, Variational Graph Auto-Encoders, 2016.
Empirical analysis of an evolving social network, Science, vol.311, issue.5757, pp.88-90, 2006. ,
Origins of homophily in an evolving social network, Am J Sociol, vol.115, issue.2, pp.405-450, 2009. ,
Emergence of communities in weighted networks, Phys Rev Lett, vol.99, issue.22, p.228701, 2007. ,
Randomization tests for distinguishing social influence and homophily effects, Proceedings of the 19th International Conference on World Wide Web. ACM. pp 601-610, 2010. ,
Socioeconomic correlations and stratification in social-communication networks, J R Soc Interface, vol.13, issue.125, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01403331
Location, occupation, and semantics based socioeconomic status inference on twitter, 2018 IEEE International Conference on Data Mining Workshops (ICDMW), pp.1192-1199, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-02061219
Socioeconomic Dependencies of Linguistic Patterns in Twitter: A Multivariate Analysis, Proceedings of the 2018 World Wide Web Conference. WWW '18. International World Wide Web Conferences Steering Committee, vol.23, pp.1125-1134, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01674620
Deepcas: An end-to-end predictor of information cascades, Proceedings of the 26th International Conference on World Wide Web. WWW '17. International World Wide Web Conferences Steering Committee, pp.577-586, 2017. ,
The link-prediction problem for social networks, J Am Soc Inf Sci Technol, vol.58, issue.7, pp.1019-1031, 2007. ,
Link prediction in complex networks: A survey, Physica A Stat Mech Appl, vol.390, issue.6, pp.1150-1170, 2011. ,
, Disentangling Disentanglement in Variational Auto-Encoders, 2018.
Birds of a feather: Homophily in social networks, Ann Rev Soc, vol.27, issue.1, pp.415-444, 2001. ,
, Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions, vol.24, 2018.
Rectified Linear Units Improve Restricted Boltzmann Machines, Proceedings of the 27th International Conference on International Conference on Machine Learning. ICML'10, pp.807-814, 2010. ,
Query-driven active surveying for collective classification, 10th International Workshop on Mining and Learning With Graphs, 2012. ,
Scikit-learn: Machine learning in Python, J Mach Learn Res, vol.12, pp.2825-2830, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00650905
Hierarchical block structures and high-resolution model selection in large networks, Phys Rev X, vol.4, issue.1, p.11047, 2014. ,
Deepwalk: Online learning of social representations, Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD '14, 2014. ,
, Stochastic Backpropagation and Approximate Inference in Deep Generative Models, 2014.
The map equation, Eur Phys J Spec Top, vol.178, issue.1, pp.13-23, 2009. ,
Collective classification in network data, AI Mag, vol.29, issue.3, pp.93-93, 2008. ,
, Flexible Attributed Network Embedding, vol.10, 2018.
Friendship in school: Gender and racial homophily, Sociol Educ, pp.227-239, 1988. ,
Leveraging social media networks for classification, Data Min Knowl Discov, vol.23, issue.3, pp.447-478, 2011. ,
Gnu parallel -the command-line power tool, login: USENIX Mag, vol.36, pp.42-47, 2011. ,
A global geometric framework for nonlinear dimensionality reduction, Science, vol.290, issue.5500, pp.2319-2323, 2000. ,
, , vol.9, 2018.
Structural deep network embedding, Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD '16, pp.1225-1234, 2016. ,
Graph convolutional neural networks for web-scale recommender systems, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. KDD '18, pp.974-983, 2018. ,
Deep variational network embedding in wasserstein space, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. KDD '18, pp.2827-2836, 2018. ,
Modeling polypharmacy side effects with graph convolutional networks, Bioinformatics, vol.34, issue.13, pp.457-466, 2018. ,