Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data: Extended Abstract. - Valentina Shumovskaia; Kirill Fedyanin; Ivan Sukharev; Dmitry Berestnev; Maxim Panov (DSAA, 2020)

EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data. - Ivan Sukharev; Valentina Shumovskaia; Kirill Fedyanin; Maxim Panov; Dmitry Berestnev (ICDM, 2020)

Online Graph Learning from Social Interactions. - Valentina Shumovskaia; Konstantinos Ntemos; Stefan Vlaski; Ali H. Sayed (ACSCC, 2021)

Linking bank clients using graph neural networks powered by rich transactional data. - Valentina Shumovskaia; Kirill Fedyanin; Ivan Sukharev; Dmitry Berestnev; Maxim Panov (Int. J. Data Sci. Anal., 2021)

How fair is your graph? Exploring fairness concerns in neuroimaging studies. - Fernanda Ribeiro; Valentina Shumovskaia; Thomas Davies 001; Ira Ktena (MLHC, 2022)

Discovering Influencers in Opinion Formation over Social Graphs. - Valentina Shumovskaia; Mert Kayaalp; Mert Cemri; Ali H. Sayed (CoRR, 2022)

Explainability and Graph Learning From Social Interactions. - Valentina Shumovskaia; Konstantinos Ntemos; Stefan Vlaski; Ali H. Sayed (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Asynchronous Social Learning. - Mert Cemri; Virginia Bordignon; Mert Kayaalp; Valentina Shumovskaia; Ali H. Sayed (ICASSP, 2023)

Identifying Opinion Influencers over Social Networks. - Valentina Shumovskaia; Mert Kayaalp; Ali H. Sayed (ICASSP, 2023)

Distributed Decision-Making for Community Structured Networks. - Valentina Shumovskaia; Mert Kayaalp; Ali H. Sayed (ICASSP, 2024)

Detection of Malicious Agents in Social Learning. - Valentina Shumovskaia; Mert Kayaalp; Ali H. Sayed (IEEE Signal Process. Lett., 2024)

Social Learning in Community Structured Graphs. - Valentina Shumovskaia; Mert Kayaalp; Ali H. Sayed (IEEE Trans. Signal Process., 2024)