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 .

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).

Elvin Isufi, Gabriele Mazzola (2021), Graph-time convolutional neural networks, In 2021 IEEE Data Science and Learning Workshop (DSLW), IEEE .

Maosheng Yang, Mario Coutino, Geert Leus, Elvin Isufi (2021), Node-Adaptive Regularization for Graph Signal Reconstruction, In IEEE Open Journal of Signal Processing Volume 2 p.85-98.

Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi (2021), Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks, In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) p.5265-5269, IEEE .

Aberto Natali, Elvin Isufi, Mario Coutino, Geert Leus (2021), Online Graph Learning From Time-Varying Structural Equation Models, Michael B. Matthews (Eds.), In 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 p.1579-1585, IEEE .