Elvin Isufi

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 109

Top Venues

CoRR

ICASSP

EUSIPCO

IEEE Trans. Signal Process.

Publications

Rohan T. Money, Joshin Krishnan, Baltasar Beferull-Lozano, Elvin Isufi
Evolution Backcasting of Edge Flows From Partial Observations Using Simplicial Vector Autoregressive Models. ICASSP (2024)
Alexander Möllers, Alexander Immer, Vincent Fortuin, Elvin Isufi
Hodge-Aware Contrastive Learning. ICASSP (2024)
Mohammad Sabbaqi, Elvin Isufi
Inferring Time Varying Signals over Uncertain Graphs. ICASSP (2024)
Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi
Hodge-Compositional Edge Gaussian Processes. AISTATS (2024)
Bishwadeep Das, Elvin Isufi
Tensor Graph Decomposition for Temporal Networks. ICASSP (2024)
Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques
Learning Graphs and Simplicial Complexes from Data. ICASSP (2024)
Zhan Gao, Amanda Prorok, Elvin Isufi
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks. CoRR (2023)
Mohammad Sabbaqi, Elvin Isufi
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques
Learning graphs and simplicial complexes from data. CoRR (2023)
Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi
Hodge-Compositional Edge Gaussian Processes. CoRR (2023)
Rohan Money, Joshin Krishnan, Baltasar Beferull-Lozano, Elvin Isufi
Online Edge Flow Imputation on Networks. IEEE Signal Process. Lett. 30 (2023)
Joshin Krishnan, Rohan T. Money, Baltasar Beferull-Lozano, Elvin Isufi
Simplicial Vector Autoregressive Model For Streaming Edge Flows. ICASSP (2023)
Bishwadeep Das, Elvin Isufi
Online Vector Autoregressive Models Over Expanding Graphs. ICASSP (2023)
Benjamin Habib, Elvin Isufi, Ward van Breda, Arjen Jongepier, Jochen L. Cremer
Deep Statistical Solver for Distribution System State Estimation. CoRR (2023)
Maosheng Yang, Bishwadeep Das, Elvin Isufi
Online Edge Flow Prediction Over Expanding Simplicial Complexes. ICASSP (2023)
Bishwadeep Das, Elvin Isufi
Online Filtering over Expanding Graphs. CoRR (2023)
Alexander Möllers, Alexander Immer, Elvin Isufi, Vincent Fortuin
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks. CoRR (2023)
Mohammad Sabbaqi, Elvin Isufi
Graph-Time Trend Filtering and Unrolling Network. EUSIPCO (2023)
Alexander Möllers, Alexander Immer, Vincent Fortuin, Elvin Isufi
Hodge-Aware Contrastive Learning. CoRR (2023)
Maosheng Yang, Elvin Isufi
Convolutional Learning on Simplicial Complexes. CoRR (2023)
Zhan Gao, Elvin Isufi
Learning Stochastic Graph Neural Networks With Constrained Variance. IEEE Trans. Signal Process. 71 (2023)
Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus
Simplicial Convolutional Filters. IEEE Trans. Signal Process. 70 (2022)
Elvin Isufi, Fernando Gama, Alejandro Ribeiro
EdgeNets: Edge Varying Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Mohammad Sabbaqi, Riccardo Taormina, Alan Hanjalic, Elvin Isufi
Graph-Time Convolutional Autoencoders. LoG (2022)
Leila Ben Saad, Baltasar Beferull-Lozano, Elvin Isufi
Quantization Analysis and Robust Design for Distributed Graph Filters. IEEE Trans. Signal Process. 70 (2022)
Zhan Gao, Elvin Isufi
Learning Stable Graph Neural Networks via Spectral Regularization. CoRR (2022)
Mohammad Sabbaqi, Elvin Isufi
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis. CoRR (2022)
Bishwadeep Das, Elvin Isufi
Learning Expanding Graphs for Signal Interpolation. ICASSP (2022)
Bishwadeep Das, Alan Hanjalic, Elvin Isufi
Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus
Simplicial Convolutional Filters. CoRR (2022)
Bishwadeep Das, Elvin Isufi
Graph filtering over expanding graphs. CoRR (2022)
Maosheng Yang, Elvin Isufi, Geert Leus
Simplicial Convolutional Neural Networks. ICASSP (2022)
Zhan Gao, Elvin Isufi
Learning Stochastic Graph Neural Networks with Constrained Variance. CoRR (2022)
Elvin Isufi, Fernando Gama, David I. Shuman, Santiago Segarra
Graph Filters for Signal Processing and Machine Learning on Graphs. CoRR (2022)
Bishwadeep Das, Elvin Isufi
Online Filtering over Expanding Graphs. IEEECONF (2022)
Bishwadeep Das, Elvin Isufi
Learning Expanding Graphs for Signal Interpolation. CoRR (2022)
Elvin Isufi, Maosheng Yang
Convolutional Filtering in Simplicial Complexes. ICASSP (2022)
Zhan Gao, Elvin Isufi
Learning Stable Graph Neural Networks via Spectral Regularization. IEEECONF (2022)
Maosheng Yang, Elvin Isufi
Simplicial Trend Filtering (Invited Paper). IEEECONF (2022)
Elvin Isufi, Maosheng Yang
Convolutional Filtering in Simplicial Complexes. CoRR (2022)
Yanbin He, Mario Coutino, Elvin Isufi, Geert Leus
Dynamic Bi-Colored Graph Partitioning. EUSIPCO (2022)
Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus
Finite Impulse Response Filters for Simplicial Complexes. EUSIPCO (2021)
Elvin Isufi, Gabriele Mazzola
Graph-Time Convolutional Neural Networks. CoRR (2021)
Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein
GReS: Workshop on Graph Neural Networks for Recommendation and Search. RecSys (2021)
Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus
Finite Impulse Response Filters for Simplicial Complexes. CoRR (2021)
Zhan Gao, Elvin Isufi, Alejandro Ribeiro
Stochastic Graph Neural Networks. IEEE Trans. Signal Process. 69 (2021)
Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. ICASSP (2021)
Alberto Natali, Elvin Isufi, Mario Coutino, Geert Leus
Online Graph Learning From Time-Varying Structural Equation Models. ACSCC (2021)
Geert Leus, Maosheng Yang, Mario Coutino, Elvin Isufi
Topological Volterra Filters. ICASSP (2021)
Maosheng Yang, Elvin Isufi, Geert Leus
Simplicial Convolutional Neural Networks. CoRR (2021)
Alberto Natali, Elvin Isufi, Mario Coutino, Geert Leus
Learning Time-Varying Graphs from Online Data. CoRR (2021)
Elvin Isufi, Matteo Pocchiari, Alan Hanjalic
Accuracy-diversity trade-off in recommender systems via graph convolutions. Inf. Process. Manag. 58 (2) (2021)
Kaiwen Zhang, Mario Coutino, Elvin Isufi
Sampling Graph Signals with Sparse Dictionary Representation. EUSIPCO (2021)
Zhan Gao, Elvin Isufi, Alejandro Ribeiro
Stability of graph convolutional neural networks to stochastic perturbations. Signal Process. 188 (2021)
Zhan Gao, Elvin Isufi, Alejandro Ribeiro
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations. CoRR (2021)
Zhan Gao, Elvin Isufi, Alejandro Ribeiro
Variance-Constrained Learning for Stochastic Graph Neural Networks. ICASSP (2021)
Alberto Natali, Mario Coutino, Elvin Isufi, Geert Leus
Online Time-Varying Topology Identification Via Prediction-Correction Algorithms. ICASSP (2021)
Elvin Isufi, Fernando Gama, Alejandro Ribeiro
EdgeNets: Edge Varying Graph Neural Networks. CoRR (2020)
Alberto Natali, Mario Coutino, Elvin Isufi, Geert Leus
Online Time-Varying Topology Identification via Prediction-Correction Algorithms. CoRR (2020)
Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus
Observing and tracking bandlimited graph processes from sampled measurements. Signal Process. 177 (2020)
Bishwadeep Das, Elvin Isufi, Geert Leus
Active Semi-Supervised Learning for Diffusions on Graphs. ICASSP (2020)
Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. CoRR (2020)
Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro
Graphs, Convolutions, and Neural Networks. CoRR (2020)
Alberto Natali, Elvin Isufi, Geert Leus
Forecasting Multi-Dimensional Processes Over Graphs. ICASSP (2020)
Bianca Iancu, Elvin Isufi
Towards Finite-Time Consensus with Graph Convolutional Neural Networks. EUSIPCO (2020)
Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus
State-Space Network Topology Identification From Partial Observations. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Maosheng Yang, Mario Coutino, Elvin Isufi, Geert Leus
Node Varying Regularization for Graph Signals. EUSIPCO (2020)
Leila Ben Saad, Baltasar Beferull-Lozano, Elvin Isufi
Quantization Analysis and Robust Design for Distributed Graph Filters. CoRR (2020)
Zhan Gao, Elvin Isufi, Alejandro Ribeiro
Stochastic Graph Neural Networks. CoRR (2020)
Alberto Natali, Elvin Isufi, Geert Leus
Forecasting Multi-Dimensional Processes over Graphs. CoRR (2020)
Miao Sun, Elvin Isufi, Natasja M. S. de Groot, Richard C. Hendriks
Graph-time spectral analysis for atrial fibrillation. Biomed. Signal Process. Control. 59 (2020)
Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks. IEEE Signal Process. Mag. 37 (6) (2020)
Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus
State-Space Based Network Topology Identification. EUSIPCO (2020)
Zhan Gao, Elvin Isufi, Alejandro Ribeiro
Stochastic Graph Neural Networks. ICASSP (2020)
Oxana Rimleanscaia, Elvin Isufi
Rational Chebyshev Graph Filters. ACSSC (2020)
Bianca Iancu, Luana Ruiz, Alejandro Ribeiro, Elvin Isufi
Graph-Adaptive Activation Functions for Graph Neural Networks. MLSP (2020)
Elvin Isufi, Fernando Gama, Alejandro Ribeiro
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. CoRR (2019)
Mario Coutino, Elvin Isufi, Geert Leus
Advances in Distributed Graph Filtering. IEEE Trans. Signal Process. 67 (9) (2019)
Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, Geert Leus
Forecasting Time Series With VARMA Recursions on Graphs. IEEE Trans. Signal Process. 67 (18) (2019)
Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus
Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs. IEEE Trans. Signal Process. 67 (24) (2019)
Leila Ben Saad, Elvin Isufi, Baltasar Beferull-Lozano
Graph Filtering with Quantization over Random Time-varying Graphs. GlobalSIP (2019)
Jiani Liu, Elvin Isufi, Geert Leus
Filter Design for Autoregressive Moving Average Graph Filters. IEEE Trans. Signal Inf. Process. over Networks 5 (1) (2019)
Mario Coutino, Elvin Isufi, Fernando Gama, Alejandro Ribeiro, Geert Leus
Design Strategies for Sparse Control Of Random Time-Varying NETWORKS. ACSSC (2019)
Ron Levie, Elvin Isufi, Gitta Kutyniok
On the Transferability of Spectral Graph Filters. CoRR (2019)
Miao Sun, Elvin Isufi, Natasja M. S. de Groot, Richard C. Hendriks
A Graph Signal Processing Framework for Atrial Activity Extraction. EUSIPCO (2019)
Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus
Controllability of Bandlimited Graph Processes Over Random Time-Varying Graphs. CoRR (2019)
Elvin Isufi, Fernando Gama, Alejandro Ribeiro
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. EUSIPCO (2019)
Elvin Isufi, Ashvant S. U. Mahabir, Geert Leus
Blind Graph Topology Change Detection. IEEE Signal Process. Lett. 25 (5) (2018)
Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, Geert Leus
Forecasting Time Series with VARMA Recursions on Graphs. CoRR (2018)
Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus
On The Limits of Finite-Time Distributed Consensus Through Successive Local Linear Operations. ACSSC (2018)
Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus
Observing Bandlimited Graph Processes from Subsampled Measurements. ACSSC (2018)
Elvin Isufi, Paolo Di Lorenzo, Paolo Banelli, Geert Leus
Distributed Wiener-Based Reconstruction of Graph Signals. SSP (2018)
Paolo Di Lorenzo, Paolo Banelli, Elvin Isufi, Sergio Barbarossa, Geert Leus
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies. IEEE Trans. Signal Process. 66 (13) (2018)
Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro
Control of Graph Signals Over Random Time-Varying Graphs. ICASSP (2018)
Andreas Loukas, Elvin Isufi, Nathanaël Perraudin
Predicting the evolution of stationary graph signals. ACSSC (2017)
Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus
Filtering Random Graph Processes Over Random Time-Varying Graphs. IEEE Trans. Signal Process. 65 (16) (2017)
Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus
Autoregressive Moving Average Graph Filtering. IEEE Trans. Signal Process. 65 (2) (2017)
Paolo Di Lorenzo, Paolo Banelli, Elvin Isufi, Sergio Barbarossa, Geert Leus
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies. CoRR (2017)
Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus
Filtering Random Graph Processes Over Random Time-Varying Graphs. CoRR (2017)
Elvin Isufi, Geert Leus
Distributed sparsified graph filters for denoising and diffusion tasks. ICASSP (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Elvin Isufi