Network Coding for Flooding-Based Routing in Underwater Sensor Networks. - Elvin Isufi; Geert Leus; Henry Dol (WUWNet, 2014)

Stochastic graph filtering on time-varying graphs. - Elvin Isufi; Andrea Simonetto; Andreas Loukas; Geert Leus (CAMSAP, 2015)

Separable autoregressive moving average graph-temporal filters. - Elvin Isufi; Andreas Loukas; Andrea Simonetto; Geert Leus (EUSIPCO, 2016)

2-Dimensional finite impulse response graph-temporal filters. - Elvin Isufi; Geert Leus; Paolo Banelli (GlobalSIP, 2016)

Distributed Time-Varying Graph Filtering. - Elvin Isufi; Andreas Loukas; Andrea Simonetto; Geert Leus (CoRR, 2016)

Advanced flooding-based routing protocols for underwater sensor networks. - Elvin Isufi; Henry Dol; Geert Leus (EURASIP J. Adv. Signal Process., 2016)

Predicting the evolution of stationary graph signals. - Andreas Loukas; Elvin Isufi; Nathanaël Perraudin (ACSSC, 2017)

Distributed edge-variant graph filters. - Mario Coutino; Elvin Isufi; Geert Leus (CAMSAP, 2017)

Distributed recursive least squares strategies for adaptive reconstruction of graph signals. - Paolo Di Lorenzo; Elvin Isufi; Paolo Banelli; Sergio Barbarossa; Geert Leus (EUSIPCO, 2017)

Autoregressive moving average graph filter design. - Jiani Liu 001; Elvin Isufi; Geert Leus (GlobalSIP, 2017)

Distributed sparsified graph filters for denoising and diffusion tasks. - Elvin Isufi; Geert Leus (ICASSP, 2017)

Autoregressive moving average graph filters a stable distributed implementation. - Elvin Isufi; Andreas Loukas; Geert Leus (ICASSP, 2017)

Autoregressive Moving Average Graph Filtering. - Elvin Isufi; Andreas Loukas; Andrea Simonetto; Geert Leus (IEEE Trans. Signal Process., 2017)

Filtering Random Graph Processes Over Random Time-Varying Graphs. - Elvin Isufi; Andreas Loukas; Andrea Simonetto; Geert Leus (IEEE Trans. Signal Process., 2017)

On The Limits of Finite-Time Distributed Consensus Through Successive Local Linear Operations. - Mario Coutino; Elvin Isufi; Takanori Maehara; Geert Leus (ACSSC, 2018)

Observing Bandlimited Graph Processes from Subsampled Measurements. - Elvin Isufi; Paolo Banelli; Paolo Di Lorenzo; Geert Leus (ACSSC, 2018)

Control of Graph Signals Over Random Time-Varying Graphs. - Fernando Gama; Elvin Isufi; Geert Leus; Alejandro Ribeiro (ICASSP, 2018)

Distributed Wiener-Based Reconstruction of Graph Signals. - Elvin Isufi; Paolo Di Lorenzo; Paolo Banelli; Geert Leus (SSP, 2018)

Blind Graph Topology Change Detection. - Elvin Isufi; Ashvant S. U. Mahabir; Geert Leus (IEEE Signal Process. Lett., 2018)

Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies. - Paolo Di Lorenzo; Paolo Banelli; Elvin Isufi; Sergio Barbarossa; Geert Leus (IEEE Trans. Signal Process., 2018)

Design Strategies for Sparse Control Of Random Time-Varying NETWORKS. - Mario Coutino; Elvin Isufi; Fernando Gama; Alejandro Ribeiro; Geert Leus (ACSSC, 2019)

Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. - Elvin Isufi; Fernando Gama; Alejandro Ribeiro (EUSIPCO, 2019)

A Graph Signal Processing Framework for Atrial Activity Extraction. - Miao Sun; Elvin Isufi; Natasja M. S. de Groot; Richard C. Hendriks (EUSIPCO, 2019)

Graph Filtering with Quantization over Random Time-varying Graphs. - Leila Ben Saad; Elvin Isufi; Baltasar Beferull-Lozano (GlobalSIP, 2019)

On the Transferability of Spectral Graph Filters. - Ron Levie; Elvin Isufi; Gitta Kutyniok (CoRR, 2019)

Filter Design for Autoregressive Moving Average Graph Filters. - Jiani Liu 001; Elvin Isufi; Geert Leus (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Advances in Distributed Graph Filtering. - Mario Coutino; Elvin Isufi; Geert Leus (IEEE Trans. Signal Process., 2019)

Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs. - Fernando Gama; Elvin Isufi; Alejandro Ribeiro; Geert Leus (IEEE Trans. Signal Process., 2019)

Forecasting Time Series With VARMA Recursions on Graphs. - Elvin Isufi; Andreas Loukas; Nathanaël Perraudin; Geert Leus (IEEE Trans. Signal Process., 2019)

Rational Chebyshev Graph Filters. - Oxana Rimleanscaia; Elvin Isufi (ACSSC, 2020)

State-Space Based Network Topology Identification. - Mario Coutino; Elvin Isufi; Takanori Maehara; Geert Leus (EUSIPCO, 2020)

Towards Finite-Time Consensus with Graph Convolutional Neural Networks. - Bianca Iancu; Elvin Isufi (EUSIPCO, 2020)

Node Varying Regularization for Graph Signals. - Maosheng Yang; Mario Coutino; Elvin Isufi; Geert Leus (EUSIPCO, 2020)

Active Semi-Supervised Learning for Diffusions on Graphs. - Bishwadeep Das; Elvin Isufi; Geert Leus (ICASSP, 2020)

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

Graph-Adaptive Activation Functions for Graph Neural Networks. - Bianca Iancu; Luana Ruiz; Alejandro Ribeiro; Elvin Isufi (MLSP, 2020)

Graph-time spectral analysis for atrial fibrillation. - Miao Sun; Elvin Isufi; Natasja M. S. de Groot; Richard C. Hendriks (Biomed. Signal Process. Control., 2020)

Graphs, Convolutions, and Neural Networks. - Fernando Gama; Elvin Isufi; Geert Leus; Alejandro Ribeiro (CoRR, 2020)

Observing and tracking bandlimited graph processes from sampled measurements. - Elvin Isufi; Paolo Banelli; Paolo Di Lorenzo; Geert Leus (Signal Process., 2020)

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks. - Fernando Gama; Elvin Isufi; Geert Leus; Alejandro Ribeiro (IEEE Signal Process. Mag., 2020)

State-Space Network Topology Identification From Partial Observations. - Mario Coutino; Elvin Isufi; Takanori Maehara; Geert Leus (IEEE Trans. Signal Inf. Process. over Networks, 2020)

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

Finite Impulse Response Filters for Simplicial Complexes. - Maosheng Yang; Elvin Isufi; Michael T. Schaub; Geert Leus (EUSIPCO, 2021)

Sampling Graph Signals with Sparse Dictionary Representation. - Kaiwen Zhang 007; Mario Coutino; Elvin Isufi (EUSIPCO, 2021)

Variance-Constrained Learning for Stochastic Graph Neural Networks. - Zhan Gao; Elvin Isufi; Alejandro Ribeiro (ICASSP, 2021)

Topological Volterra Filters. - Geert Leus; Maosheng Yang; Mario Coutino; Elvin Isufi (ICASSP, 2021)

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

Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. - Luana Ruiz; Fernando Gama; Alejandro Ribeiro; Elvin Isufi (ICASSP, 2021)

GReS: Workshop on Graph Neural Networks for Recommendation and Search. - Thibaut Thonet; Stéphane Clinchant; Carlos Lassance; Elvin Isufi; Jiaqi Ma 001; Yutong Xie 007; Jean-Michel Renders; Michael M. Bronstein (RecSys, 2021)

Graph-Time Convolutional Neural Networks. - Elvin Isufi; Gabriele Mazzola (CoRR, 2021)

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

Accuracy-diversity trade-off in recommender systems via graph convolutions. - Elvin Isufi; Matteo Pocchiari; Alan Hanjalic (Inf. Process. Manag., 2021)

Stability of graph convolutional neural networks to stochastic perturbations. - Zhan Gao; Elvin Isufi; Alejandro Ribeiro (Signal Process., 2021)

Stochastic Graph Neural Networks. - Zhan Gao; Elvin Isufi; Alejandro Ribeiro (IEEE Trans. Signal Process., 2021)

Online Filtering over Expanding Graphs. - Bishwadeep Das; Elvin Isufi (IEEECONF, 2022)

Learning Stable Graph Neural Networks via Spectral Regularization. - Zhan Gao; Elvin Isufi (IEEECONF, 2022)

Simplicial Trend Filtering (Invited Paper). - Maosheng Yang; Elvin Isufi (IEEECONF, 2022)

Dynamic Bi-Colored Graph Partitioning. - Yanbin He; Mario Coutino; Elvin Isufi; Geert Leus (EUSIPCO, 2022)

Learning Expanding Graphs for Signal Interpolation. - Bishwadeep Das; Elvin Isufi (ICASSP, 2022)

Convolutional Filtering in Simplicial Complexes. - Elvin Isufi; Maosheng Yang (ICASSP, 2022)

Simplicial Convolutional Neural Networks. - Maosheng Yang; Elvin Isufi; Geert Leus (ICASSP, 2022)

Graph-Time Convolutional Autoencoders. - Mohammad Sabbaqi; Riccardo Taormina; Alan Hanjalic; Elvin Isufi (LoG, 2022)

Graph filtering over expanding graphs. - Bishwadeep Das; Elvin Isufi (CoRR, 2022)

EdgeNets: Edge Varying Graph Neural Networks. - Elvin Isufi; Fernando Gama; Alejandro Ribeiro (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs. - Bishwadeep Das; Alan Hanjalic; Elvin Isufi (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Quantization Analysis and Robust Design for Distributed Graph Filters. - Leila Ben Saad; Baltasar Beferull-Lozano; Elvin Isufi (IEEE Trans. Signal Process., 2022)

Simplicial Convolutional Filters. - Maosheng Yang; Elvin Isufi; Michael T. Schaub; Geert Leus (IEEE Trans. Signal Process., 2022)

Graph-Time Trend Filtering and Unrolling Network. - Mohammad Sabbaqi; Elvin Isufi (EUSIPCO, 2023)

Online Vector Autoregressive Models Over Expanding Graphs. - Bishwadeep Das; Elvin Isufi (ICASSP, 2023)

Simplicial Vector Autoregressive Model For Streaming Edge Flows. - Joshin Krishnan; Rohan T. Money; Baltasar Beferull-Lozano; Elvin Isufi (ICASSP, 2023)

Online Edge Flow Prediction Over Expanding Simplicial Complexes. - Maosheng Yang; Bishwadeep Das; Elvin Isufi (ICASSP, 2023)

Deep Statistical Solver for Distribution System State Estimation. - Benjamin Habib; Elvin Isufi; Ward van Breda; Arjen Jongepier; Jochen L. Cremer (CoRR, 2023)

Convolutional Learning on Simplicial Complexes. - Maosheng Yang; Elvin Isufi (CoRR, 2023)

Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks. - Alexander Möllers; Alexander Immer; Elvin Isufi; Vincent Fortuin (CoRR, 2023)

On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks. - Zhan Gao; Amanda Prorok; Elvin Isufi (CoRR, 2023)

Online Edge Flow Imputation on Networks. - Rohan T. Money; Joshin Krishnan; Baltasar Beferull-Lozano; Elvin Isufi (IEEE Signal Process. Lett., 2023)

Learning Stochastic Graph Neural Networks With Constrained Variance. - Zhan Gao; Elvin Isufi (IEEE Trans. Signal Process., 2023)

Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis. - Mohammad Sabbaqi; Elvin Isufi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Kalman Filtering for Simplicial Processes. - Rohan T. Money; Mohammad Sabbaqi; Joshin Krishnan; Baltasar Beferull-Lozano; Elvin Isufi (IEEECONF, 2024)

Hodge-Compositional Edge Gaussian Processes. - Maosheng Yang; Viacheslav Borovitskiy; Elvin Isufi (AISTATS, 2024)

Hodge-Aware Matched Subspace Detectors. - Chengen Liu; Elvin Isufi (EUSIPCO, 2024)

Learning Graphs and Simplicial Complexes from Data. - Andrei Buciulea; Elvin Isufi; Geert Leus; Antonio G. Marques (ICASSP, 2024)

Tensor Graph Decomposition for Temporal Networks. - Bishwadeep Das; Elvin Isufi (ICASSP, 2024)

Hodge-Aware Contrastive Learning. - Alexander Möllers; Alexander Immer; Vincent Fortuin; Elvin Isufi (ICASSP, 2024)

Evolution Backcasting of Edge Flows From Partial Observations Using Simplicial Vector Autoregressive Models. - Rohan T. Money; Joshin Krishnan; Baltasar Beferull-Lozano; Elvin Isufi (ICASSP, 2024)

Inferring Time Varying Signals over Uncertain Graphs. - Mohammad Sabbaqi; Elvin Isufi (ICASSP, 2024)

Learning the Topology of a Simplicial Complex Using Simplicial Signals: A Greedy Approach. - Andrei Buciulea; Elvin Isufi; Geert Leus; Antonio G. Marques (SAM, 2024)

Spatiotemporal Covariance Neural Networks. - Andrea Cavallo; Mohammad Sabbaqi; Elvin Isufi (ECML/PKDD (2), 2024)

Online Learning Of Expanding Graphs. - Samuel Rey; Bishwadeep Das; Elvin Isufi (CoRR, 2024)

Sparse Covariance Neural Networks. - Andrea Cavallo; Zhan Gao; Elvin Isufi (CoRR, 2024)

Online Graph Filtering Over Expanding Graphs. - Bishwadeep Das; Elvin Isufi (IEEE Trans. Signal Process., 2024)

Graph Filters for Signal Processing and Machine Learning on Graphs. - Elvin Isufi; Fernando Gama; David I Shuman; Santiago Segarra (IEEE Trans. Signal Process., 2024)

Simplicial Vector Autoregressive Models. - Joshin Krishnan; Rohan T. Money; Baltasar Beferull-Lozano; Elvin Isufi (IEEE Trans. Signal Process., 2024)

Fair CoVariance Neural Networks. - Andrea Cavallo; Madeline Navarro; Santiago Segarra; Elvin Isufi (ICASSP, 2025)

Bayesian Filtering on Graphs. - Bishwadeep Das; Madeline Navarro; Santiago Segarra; Elvin Isufi (ICASSP, 2025)

Higher-Order Topological Directionality and Directed Simplicial Neural Networks. - Manuel Lecha; Andrea Cavallo; Francesca Dominici; Elvin Isufi; Claudio Battiloro (ICASSP, 2025)

Tracking Network Dynamics using Probabilistic State-Space Models. - Victor M. Tenorio; Elvin Isufi; Geert Leus; Antonio G. Marques (ICASSP, 2025)

Topological signal processing and learning: Recent advances and future challenges. - Elvin Isufi; Geert Leus; Baltasar Beferull-Lozano; Sergio Barbarossa; Paolo Di Lorenzo (Signal Process., 2025)

Hodge-Aware Convolutional Learning on Simplicial Complexes. - Maosheng Yang; Geert Leus; Elvin Isufi (Trans. Mach. Learn. Res., 2025)

Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation. - Raoul Kalisvaart; Masoud Mansoury; Alan Hanjalic; Elvin Isufi (CoRR, 2025)

Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding. - Manuel Lecha; Andrea Cavallo; Francesca Dominici; Ran Levi; Alessio Del Bue; Elvin Isufi; Pietro Morerio; Claudio Battiloro (CoRR, 2025)

Graph signal aware decomposition of dynamic networks via latent graphs. - Bishwadeep Das; Andrei Buciulea; Antonio G. Marques; Elvin Isufi (CoRR, 2025)

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning. - Mohammad Sabbaqi; Riccardo Taormina; Elvin Isufi (CoRR, 2025)