Publications

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2019
F. Morstatter, A. Galstyan, G. Satyukov, D. Benjamin, A. Abeliuk, M. Mirtaheri, K. S. M. Hossain, P. Szekely, E. Ferrara, A. Matsui, and others, "SAGE: a hybrid geopolitical event forecasting system", Proceedings of the 28th International Joint Conference on Artificial Intelligence: AAAI Press, pp. 6557–6559, 2019.
2018
P. Goyal, H. Hosseinmardi, E. Ferrara, and A. Galstyan, "Capturing Edge Attributes via Network Embedding", IEEE Transactions on Computational Social Systems, vol. 5, no. 4: 10.1109/TCSS.2018.2877083, pp. 907–917, 2018.
P. Goyal, H. Hosseinmardi, E. Ferrara, and A. Galstyan, "Embedding networks with edge attributes", Proceedings of the 29th on Hypertext and Social Media, pp. 38–42, 2018.
S. Arakelyan, F. Morstatter, M. Martin, E. Ferrara, and A. Galstyan, "Mining and Forecasting Career Trajectories of Music Artists", Proceedings of the 29th on Hypertext and Social Media: https://dl.acm.org/citation.cfm?id=3209554, pp. 11–19, 2018.
2016
A. E. Allahverdyan, and A. Galstyan, "Emergence of Leadership in Communication", PLOS ONE, vol. 11, no. 8: Public Library of Science, pp. 1-22, 08, 2016. Abstract
Y. - S. Cho, G. Ver Steeg, E. Ferrara, and A. Galstyan, "Latent Space Model for Multi-Modal Social Data", WWW '16 Proceedings of the 25th International Conference on World Wide Web: ACM, pp. 447–458, 2016.
Y. - S. Cho, G. Ver Steeg, E. Ferrara, and A. Galstyan, "Latent Space Model for Multi-Modal Social Data", WWW '16 Proceedings of the 25th International Conference on World Wide Web: ACM, pp. 447–458, 2016.
E. Ferrara, W. - Q. Wang, O. Varol, A. Flammini, and A. Galstyan, "Predicting online extremism, content adopters, and interaction reciprocity", International Conference on Social Informatics: Springer International Publishing, pp. 22–39, 2016.
E. Ferrara, W. - Q. Wang, O. Varol, A. Flammini, and A. Galstyan, "Predicting online extremism, content adopters, and interaction reciprocity", International Conference on Social Informatics: Springer International Publishing, pp. 22–39, 2016.
G. Ver Steeg, S. Gao, K. Reing, and A. Galstyan, "Toward Interpretable Topic Discovery via Anchored Correlation Explanation", ICML Workshop on Human Interpretability in Machine Learning (WHI'16), 2016.
S. Gao, G. Ver Steeg, and A. Galstyan, "Variational Information Maximization for Feature Selection", Advances in Neural Information Processing Systems, NIPS'16, 2016.
2015
S. K. Madsen, G. Ver Steeg, A. Mezher, N. Jahanshad, T. M. Nir, X. Hua, B. A. Gutman, A. Galstyan, and P. M. Thompson, "", International Symposium on Biomedical Imaging, ISBI, 2015.