Dmitrii Kiselev

Orcid: 0000-0001-6190-7587

According to our database1, Dmitrii Kiselev authored at least 8 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Predicting Molecule Toxicity via Descriptor-Based Graph Self-Supervised Learning.
IEEE Access, 2023

Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022
Temporal network embedding framework with causal anonymous walks representations.
PeerJ Comput. Sci., 2022

Exploration in Sequential Recommender Systems via Graph Representations.
IEEE Access, 2022

2021
Fusion of text and graph information for machine learning problems on networks.
PeerJ Comput. Sci., 2021

Survey on graph embeddings and their applications to machine learning problems on graphs.
PeerJ Comput. Sci., 2021

JONNEE: Joint Network Nodes and Edges Embedding.
IEEE Access, 2021

2019
Prediction of New Itinerary Markets for Airlines via Network Embedding.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019


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