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Valentina Shumovskaia
Valentina Shumovskaia
PhD Student, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Linking bank clients using graph neural networks powered by rich transactional data
V Shumovskaia, K Fedyanin, I Sukharev, D Berestnev, M Panov
International Journal of Data Science and Analytics 12, 135-145, 2021
212021
Online Graph Learning from Social Interactions
V Shumovskaia, K Ntemos, S Vlaski, AH Sayed
2021 55th Asilomar Conference on Signals, Systems, and Computers, 1263-1267, 2021
82021
Explainability and Graph Learning from Social Interactions
V Shumovskaia, K Ntemos, S Vlaski, AH Sayed
IEEE Transactions on Signal and Information Processing over Networks 8, 946-959, 2022
62022
Linking bank clients using graph neural networks powered by rich transactional data: Extended abstract
V Shumovskaia, K Fedyanin, I Sukharev, D Berestnev, M Panov
2020 IEEE 7th International Conference on Data Science and Advanced …, 2020
62020
EWS-GCN: Edge weight-shared graph convolutional network for transactional banking data
I Sukharev, V Shumovskaia, K Fedyanin, M Panov, D Berestnev
2020 IEEE International Conference on Data Mining (ICDM), 1268-1273, 2020
52020
Discovering Influencers in Opinion Formation over Social Graphs
V Shumovskaia, M Kayaalp, M Cemri, AH Sayed
IEEE Open Journal of Signal Processing 4, 188-207, 2023
42023
Asynchronous Social Learning
M Cemri, V Bordignon, M Kayaalp, V Shumovskaia, AH Sayed
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023
32023
Identifying opinion influencers over social networks
V Shumovskaia, M Kayaalp, AH Sayed
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023
22023
Towards hypothesis testing for random graphs with community structure
V Shumovskaia, M Panov
ИТиС 2018, 135-147, 2018
22018
Distributed Decision-Making for Community Structured Networks
V Shumovskaia, M Kayaalp, AH Sayed
Proc. IEEE International Conference on Acoustics, Speech and Signal …, 2024
12024
Social Learning in Community Structured Graphs
V Shumovskaia, M Kayaalp, AH Sayed
arXiv preprint arXiv:2312.12186, 2023
12023
How fair is your graph? Exploring fairness concerns in neuroimaging studies
F Ribeiro, V Shumovskaia, T Davies, I Ktena
Machine Learning for Healthcare, 2022
12022
Evaluating graph fairness in transductive learning
FL Ribeiro, V Shumovskaia, T Davies, I Ktena
Medical Imaging with Deep Learning, 2022
2022
Reproducibility Summary
A Atanov, V Shumovskaia, M Vujasinovic
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