Sergei Ivanov

Graduated from: Skoltech (MSc)

Research interests: graphs + machine learning

Thesis title: Neural and Combinatorial Graph Vector Representations

Publications:

Ivanov, S., & Burnaev, E. (2018). Anonymous walk embeddings. 35th International Conference on Machine Learning, ICML 2018, 5, 3448–3457.

Ivanov, S., Durasov, N., & Burnaev, E. (2018, November). Learning Node Embeddings for Influence Set Completion. In 2018 IEEE International Conference on Data Mining Workshops (ICDMW) (pp. 1034-1037). IEEE.

Sharaev, M., Artemov, A., Kondrateva, E., Ivanov, S., Sushchinskaya, S., Bernstein, A., Cichocki, A. & Burnaev, E. (2018, November).Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. In 2018 IEEE International Conference on Data Mining Workshops (ICDMW) (pp. 308-314). IEEE.

Ivanov, S., Theocharidis, K., Terrovitis, M., & Karras, P. (2017, August). Content recommendation for viral social influence. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 565-574). ACM.

Ivanov, S., & Karras, P. (2016, October). Harvester: Influence optimization in symmetric interaction networks. In 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) (pp. 61-70). IEEE.

Conferences:

ICML18, SIGIR17