Forecasting Multi-Dimensional Processes Over Graphs. - Alberto Natali; Elvin Isufi; Geert Leus (ICASSP, 2020)

Topology-Aware Joint Graph Filter and Edge Weight Identification for Network Processes. - Alberto Natali; Mario Coutino; Geert Leus (MLSP, 2020)

Online Graph Learning From Time-Varying Structural Equation Models. - Alberto Natali; Elvin Isufi; Mario Coutino; Geert Leus (ACSCC, 2021)

Online Time-Varying Topology Identification Via Prediction-Correction Algorithms. - Alberto Natali; Mario Coutino; Elvin Isufi; Geert Leus (ICASSP, 2021)

Learning Time-Varying Graphs from Online Data. - Alberto Natali; Elvin Isufi; Mario Coutino; Geert Leus (CoRR, 2021)

A General Convolution Theorem for Graph Data. - Alberto Natali; Geert Leus (IEEECONF, 2022)

Forecasting Graph Signals with Recursive MIMO Graph Filters. - Jelmer van der Hoeven; Alberto Natali; Geert Leus (EUSIPCO, 2023)

Blind Polynomial Regression. - Alberto Natali; Geert Leus (ICASSP, 2023)

A Generalization of the Convolution Theorem and Its Connections to Non-Stationarity and the Graph Frequency Domain. - Alberto Natali; Geert Leus (IEEE Trans. Signal Process., 2024)

Graph Topology Identification Based on Covariance Matching. - Yongsheng Han; Alberto Natali; Geert Leus (ICASSP, 2025)