Joint Node-Edge Network Embedding for Link Prediction. - Ilya Makarov; Olga Gerasimova; Pavel Sulimov; Ksenia Korovina; Leonid E. Zhukov (AIST, 2018)

Co-authorship Network Embedding and Recommending Collaborators via Network Embedding. - Ilya Makarov; Olga Gerasimova; Pavel Sulimov; Leonid E. Zhukov (AIST, 2018)

Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics. - Ilya Makarov; Olga Gerasimova; Pavel Sulimov; Leonid E. Zhukov (JCDL, 2018)

Guided Layer-Wise Learning for Deep Models Using Side Information. - Pavel Sulimov; Elena Sukmanova; Roman Chereshnev; Attila Kertész-Farkas (AIST (Supplement), 2019)

Dual network embedding for representing research interests in the link prediction problem on co-authorship networks. - Ilya Makarov; Olga Gerasimova; Pavel Sulimov; Leonid E. Zhukov (PeerJ Comput. Sci., 2019)

Annotation of tandem mass spectrometry data using stochastic neural networks in shotgun proteomics. - Pavel Sulimov; Anastasia Voronkova; Attila Kertész-Farkas (Bioinform., 2020)

QardEst: Using Quantum Machine Learning for Cardinality Estimation of Join Queries. - Florian Kittelmann; Pavel Sulimov; Kurt Stockinger (Q-DATA@SIGMOD, 2024)

GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints. - Pavel Sulimov; Claude Lehmann; Kurt Stockinger (CoRR, 2024)

Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective. - Claude Lehmann; Pavel Sulimov; Kurt Stockinger (Proc. VLDB Endow., 2024)