Valentina Shumovskaia

17 papers A* 1B 1Misc 3Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Detection of Malicious Agents in Social Learning.
CoRR
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
2024 J jnl
Detection of Malicious Agents in Social Learning.
IEEE Signal Process. Lett.
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
2024 Misc conf
Distributed Decision-Making for Community Structured Networks.
ICASSP
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
2024 J jnl
Social Learning in Community Structured Graphs.
IEEE Trans. Signal Process.
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
2023 Misc conf
Asynchronous Social Learning.
ICASSP
Mert Cemri, Virginia Bordignon, Mert Kayaalp, Valentina Shumovskaia, Ali H. Sayed
2023 Misc conf
Identifying Opinion Influencers over Social Networks.
ICASSP
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
2023 J jnl
Social Learning in Community Structured Graphs.
CoRR
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
2022 J jnl
Discovering Influencers in Opinion Formation over Social Graphs.
CoRR
Valentina Shumovskaia, Mert Kayaalp, Mert Cemri, Ali H. Sayed
2022 J jnl
Explainability and Graph Learning From Social Interactions.
IEEE Trans. Signal Inf. Process. over Networks
Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, Ali H. Sayed
2022 — conf
How fair is your graph? Exploring fairness concerns in neuroimaging studies.
MLHC
Fernanda Ribeiro, Valentina Shumovskaia, Thomas Davies, Ira Ktena
2022 J jnl
Online Graph Learning from Social Interactions.
CoRR
Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, Ali H. Sayed
2021 J jnl
Linking bank clients using graph neural networks powered by rich transactional data.
Int. J. Data Sci. Anal.
Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov
2021 — conf
Online Graph Learning from Social Interactions.
ACSCC
Valentina Shumovskaia, Konstantinos Ntemos, Stefan Vlaski, Ali H. Sayed
2020 A* conf
EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data.
ICDM
Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev
2020 J jnl
EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data.
CoRR
Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev
2020 J jnl
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data.
CoRR
Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov
2020 B conf
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data: Extended Abstract.
DSAA
Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov