Alberto Natali, Elvin Isufi, Mario Coutino, Geert Leus (2022), Learning Time-Varying Graphs from Online Data, In IEEE Open Journal of Signal Processing Volume 3 p.212 - 228.

Rohan Money, Joshin Krishnan, Baltasar Beferull-Lozano, Elvin Isufi (2022), Online Edge Flow Imputation on Networks, In IEEE Signal Processing Letters Volume 30 p.115-119.

Leila Ben Saad, Baltasar Beferull-Lozano, Elvin Isufi (2022), Quantization Analysis and Robust Design for Distributed Graph Filters, In IEEE Transactions on Signal Processing Volume 70 p.643 - 658.

Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus (2022), Simplicial Convolutional Filters, In IEEE Transactions on Signal Processing Volume 70 p.4633 - 4648.

Maosheng Yang, Elvin Isufi, Geert Leus (2022), Simplicial Convolutional Neural Networks, In Proceedings of the ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) p.8847-8851, IEEE.

Maosheng Yang, Elvin Isufi (2022), Simplicial Trend Filtering (Invited Paper), Michael B. Matthews (Eds.), In Proceedings of the 56th Asilomar Conference on Signals, Systems and Computers p.930-934, IEEE.

Bishwadeep Das, Alan Hanjalic, Elvin Isufi (2022), Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs, In IEEE Transactions on Signal and Information Processing over Networks Volume 8 p.894-906.

Elvin Isufi, Matteo Pocchiari, Alan Hanjalic (2021), Accuracy-diversity trade-off in recommender systems via graph convolutions, In Information Processing and Management Volume 58 p.1-22.

Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus (2021), Finite Impulse Response Filters for Simplicial Complexes, In 2021 29th European Signal Processing Conference (EUSIPCO) p.2005-2009, IEEE.

Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean Michel Renders, Michael Bronstein (2021), GReS: Workshop on graph neural networks for recommendation and search, In RecSys 2021 - 15th ACM Conference on Recommender Systems p.780-782, Association for Computing Machinery (ACM).