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Dmitrii Kiselev
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2020 – today
- 2023
- [j6]Xinze Li
, Ilya Makarov
Predicting Molecule Toxicity via Descriptor-Based Graph Self-Supervised Learning. IEEE Access 11: 91842-91849 (2023) - [c2]Nikita Severin
Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems. RecSys 2023: 919-925 - 2022
- [j5]Dmitrii Kiselev
Exploration in Sequential Recommender Systems via Graph Representations. IEEE Access 10: 123614-123621 (2022) - [j4]Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin
Temporal network embedding framework with causal anonymous walks representations. PeerJ Comput. Sci. 8: e858 (2022) - 2021
- [j3]Ilya Makarov
JONNEE: Joint Network Nodes and Edges Embedding. IEEE Access 9: 144646-144659 (2021) - [j2]Ilya Makarov
Survey on graph embeddings and their applications to machine learning problems on graphs. PeerJ Comput. Sci. 7: e357 (2021) - [j1]Ilya Makarov
Fusion of text and graph information for machine learning problems on networks. PeerJ Comput. Sci. 7: e526 (2021)
2010 – 2019
- 2019
- [c1]Dmitrii Kiselev
Prediction of New Itinerary Markets for Airlines via Network Embedding. AIST (Supplement) 2019: 315-325
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last updated on 2024-04-25 05:51 CEST by the dblp team
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