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2020 – today
- 2024
[j25]Bishwadeep Das
, Elvin Isufi:
Online Graph Filtering Over Expanding Graphs. IEEE Trans. Signal Process. 72: 4698-4712 (2024)- [j24]Elvin Isufi, Fernando Gama, David I Shuman, Santiago Segarra:
Graph Filters for Signal Processing and Machine Learning on Graphs. IEEE Trans. Signal Process. 72: 4745-4781 (2024) - [c55]Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi:
Hodge-Compositional Edge Gaussian Processes. AISTATS 2024: 3754-3762 - [c54]Chengen Liu, Elvin Isufi:
Hodge-Aware Matched Subspace Detectors. EUSIPCO 2024: 817-821 - [c53]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: 9516-9520 - [c52]Alexander Möllers, Alexander Immer, Vincent Fortuin, Elvin Isufi:
Hodge-Aware Contrastive Learning. ICASSP 2024: 9746-9750 - [c51]Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques:
Learning Graphs and Simplicial Complexes from Data. ICASSP 2024: 9861-9865 - [c50]Mohammad Sabbaqi, Elvin Isufi:
Inferring Time Varying Signals over Uncertain Graphs. ICASSP 2024: 9876-9880 - [c49]Bishwadeep Das, Elvin Isufi:
Tensor Graph Decomposition for Temporal Networks. ICASSP 2024: 9901-9905 - [c48]Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques:
Learning the Topology of a Simplicial Complex Using Simplicial Signals: A Greedy Approach. SAM 2024: 1-5 - [c47]Andrea Cavallo, Mohammad Sabbaqi, Elvin Isufi:
Spatiotemporal Covariance Neural Networks. ECML/PKDD (2) 2024: 18-34 - [i42]Bishwadeep Das, Elvin Isufi:
Online Graph Filtering Over Expanding Graphs. CoRR abs/2409.07204 (2024) - [i41]Manuel Lecha, Andrea Cavallo, Francesca Dominici, Elvin Isufi, Claudio Battiloro:
Higher-Order Topological Directionality and Directed Simplicial Neural Networks. CoRR abs/2409.08389 (2024) - [i40]Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi:
Fair CoVariance Neural Networks. CoRR abs/2409.08558 (2024) - [i39]Samuel Rey, Bishwadeep Das, Elvin Isufi:
Online Learning Of Expanding Graphs. CoRR abs/2409.08660 (2024) - [i38]Andrea Cavallo, Mohammad Sabbaqi, Elvin Isufi:
Spatiotemporal Covariance Neural Networks. CoRR abs/2409.10068 (2024) - [i37]Andrea Cavallo, Zhan Gao, Elvin Isufi:
Sparse Covariance Neural Networks. CoRR abs/2410.01669 (2024) - 2023
- [j23]Mohammad Sabbaqi, Elvin Isufi:
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14625-14638 (2023) - [j22]Rohan T. Money, Joshin Krishnan, Baltasar Beferull-Lozano, Elvin Isufi:
Online Edge Flow Imputation on Networks. IEEE Signal Process. Lett. 30: 115-119 (2023) - [j21]Zhan Gao, Elvin Isufi:
Learning Stochastic Graph Neural Networks With Constrained Variance. IEEE Trans. Signal Process. 71: 358-371 (2023) - [c46]Mohammad Sabbaqi, Elvin Isufi:
Graph-Time Trend Filtering and Unrolling Network. EUSIPCO 2023: 1230-1234 - [c45]Bishwadeep Das, Elvin Isufi:
Online Vector Autoregressive Models Over Expanding Graphs. ICASSP 2023: 1-5 - [c44]Joshin Krishnan, Rohan T. Money, Baltasar Beferull-Lozano, Elvin Isufi:
Simplicial Vector Autoregressive Model For Streaming Edge Flows. ICASSP 2023: 1-5 - [c43]Maosheng Yang, Bishwadeep Das, Elvin Isufi:
Online Edge Flow Prediction Over Expanding Simplicial Complexes. ICASSP 2023: 1-5 - [i36]Benjamin Habib, Elvin Isufi, Ward van Breda, Arjen Jongepier, Jochen L. Cremer:
Deep Statistical Solver for Distribution System State Estimation. CoRR abs/2301.01835 (2023) - [i35]Bishwadeep Das, Elvin Isufi:
Online Filtering over Expanding Graphs. CoRR abs/2301.06898 (2023) - [i34]Maosheng Yang, Elvin Isufi:
Convolutional Learning on Simplicial Complexes. CoRR abs/2301.11163 (2023) - [i33]Alexander Möllers, Alexander Immer, Vincent Fortuin, Elvin Isufi:
Hodge-Aware Contrastive Learning. CoRR abs/2309.07364 (2023) - [i32]Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi:
Hodge-Compositional Edge Gaussian Processes. CoRR abs/2310.19450 (2023) - [i31]Alexander Möllers, Alexander Immer, Elvin Isufi, Vincent Fortuin:
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks. CoRR abs/2312.00232 (2023) - [i30]Zhan Gao, Amanda Prorok, Elvin Isufi:
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks. CoRR abs/2312.02372 (2023) - [i29]Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques:
Learning graphs and simplicial complexes from data. CoRR abs/2312.10545 (2023) - 2022
- [j20]Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
EdgeNets: Edge Varying Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7457-7473 (2022) - [j19]Bishwadeep Das, Alan Hanjalic, Elvin Isufi:
Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs. IEEE Trans. Signal Inf. Process. over Networks 8: 894-906 (2022) - [j18]Leila Ben Saad, Baltasar Beferull-Lozano, Elvin Isufi:
Quantization Analysis and Robust Design for Distributed Graph Filters. IEEE Trans. Signal Process. 70: 643-658 (2022) - [j17]Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus:
Simplicial Convolutional Filters. IEEE Trans. Signal Process. 70: 4633-4648 (2022) - [c42]Zhan Gao, Elvin Isufi:
Learning Stable Graph Neural Networks via Spectral Regularization. IEEECONF 2022: 1-5 - [c41]Bishwadeep Das, Elvin Isufi:
Online Filtering over Expanding Graphs. IEEECONF 2022: 43-47 - [c40]Maosheng Yang, Elvin Isufi:
Simplicial Trend Filtering (Invited Paper). IEEECONF 2022: 930-934 - [c39]Yanbin He, Mario Coutino, Elvin Isufi, Geert Leus:
Dynamic Bi-Colored Graph Partitioning. EUSIPCO 2022: 692-696 - [c38]Elvin Isufi, Maosheng Yang:
Convolutional Filtering in Simplicial Complexes. ICASSP 2022: 5578-5582 - [c37]Bishwadeep Das, Elvin Isufi:
Learning Expanding Graphs for Signal Interpolation. ICASSP 2022: 5917-5921 - [c36]Maosheng Yang, Elvin Isufi, Geert Leus:
Simplicial Convolutional Neural Networks. ICASSP 2022: 8847-8851 - [c35]Mohammad Sabbaqi, Riccardo Taormina, Alan Hanjalic, Elvin Isufi:
Graph-Time Convolutional Autoencoders. LoG 2022: 24 - [i28]Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus:
Simplicial Convolutional Filters. CoRR abs/2201.11720 (2022) - [i27]Elvin Isufi, Maosheng Yang:
Convolutional Filtering in Simplicial Complexes. CoRR abs/2201.12584 (2022) - [i26]Zhan Gao, Elvin Isufi:
Learning Stochastic Graph Neural Networks with Constrained Variance. CoRR abs/2201.12611 (2022) - [i25]Bishwadeep Das, Elvin Isufi:
Learning Expanding Graphs for Signal Interpolation. CoRR abs/2203.07966 (2022) - [i24]Bishwadeep Das, Elvin Isufi:
Graph filtering over expanding graphs. CoRR abs/2203.08058 (2022) - [i23]Mohammad Sabbaqi, Elvin Isufi:
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis. CoRR abs/2206.15174 (2022) - [i22]Zhan Gao, Elvin Isufi:
Learning Stable Graph Neural Networks via Spectral Regularization. CoRR abs/2211.06966 (2022) - [i21]Elvin Isufi, Fernando Gama, David I. Shuman, Santiago Segarra:
Graph Filters for Signal Processing and Machine Learning on Graphs. CoRR abs/2211.08854 (2022) - 2021
- [j16]Elvin Isufi, Matteo Pocchiari, Alan Hanjalic:
Accuracy-diversity trade-off in recommender systems via graph convolutions. Inf. Process. Manag. 58(2): 102459 (2021) - [j15]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Stability of graph convolutional neural networks to stochastic perturbations. Signal Process. 188: 108216 (2021) - [j14]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Stochastic Graph Neural Networks. IEEE Trans. Signal Process. 69: 4428-4443 (2021) - [c34]Alberto Natali, Elvin Isufi, Mario Coutino, Geert Leus:
Online Graph Learning From Time-Varying Structural Equation Models. ACSCC 2021: 1579-1585 - [c33]Kaiwen Zhang, Mario Coutino, Elvin Isufi:
Sampling Graph Signals with Sparse Dictionary Representation. EUSIPCO 2021: 1815-1819 - [c32]Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus:
Finite Impulse Response Filters for Simplicial Complexes. EUSIPCO 2021: 2005-2009 - [c31]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Variance-Constrained Learning for Stochastic Graph Neural Networks. ICASSP 2021: 5245-5249 - [c30]Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi:
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. ICASSP 2021: 5265-5269 - [c29]Geert Leus, Maosheng Yang, Mario Coutino, Elvin Isufi:
Topological Volterra Filters. ICASSP 2021: 5385-5399 - [c28]Alberto Natali, Mario Coutino, Elvin Isufi, Geert Leus:
Online Time-Varying Topology Identification Via Prediction-Correction Algorithms. ICASSP 2021: 5400-5404 - [c27]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: 780-782 - [i20]Elvin Isufi, Gabriele Mazzola:
Graph-Time Convolutional Neural Networks. CoRR abs/2103.01730 (2021) - [i19]Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus:
Finite Impulse Response Filters for Simplicial Complexes. CoRR abs/2103.12587 (2021) - [i18]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations. CoRR abs/2106.10526 (2021) - [i17]Maosheng Yang, Elvin Isufi, Geert Leus:
Simplicial Convolutional Neural Networks. CoRR abs/2110.02585 (2021) - [i16]Alberto Natali, Elvin Isufi, Mario Coutino, Geert Leus:
Learning Time-Varying Graphs from Online Data. CoRR abs/2110.11017 (2021) - 2020
- [j13]Miao Sun, Elvin Isufi, Natasja M. S. de Groot, Richard C. Hendriks:
Graph-time spectral analysis for atrial fibrillation. Biomed. Signal Process. Control. 59: 101915 (2020) - [j12]Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus:
Observing and tracking bandlimited graph processes from sampled measurements. Signal Process. 177: 107749 (2020) - [j11]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): 128-138 (2020) - [j10]Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus:
State-Space Network Topology Identification From Partial Observations. IEEE Trans. Signal Inf. Process. over Networks 6: 211-225 (2020) - [c26]Oxana Rimleanscaia, Elvin Isufi:
Rational Chebyshev Graph Filters. ACSSC 2020: 736-740 - [c25]Maosheng Yang, Mario Coutino, Elvin Isufi, Geert Leus:
Node Varying Regularization for Graph Signals. EUSIPCO 2020: 845-849 - [c24]Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus:
State-Space Based Network Topology Identification. EUSIPCO 2020: 1055-1059 - [c23]Bianca Iancu, Elvin Isufi:
Towards Finite-Time Consensus with Graph Convolutional Neural Networks. EUSIPCO 2020: 2145-2149 - [c22]Alberto Natali, Elvin Isufi, Geert Leus:
Forecasting Multi-Dimensional Processes Over Graphs. ICASSP 2020: 5575-5579 - [c21]Bishwadeep Das, Elvin Isufi, Geert Leus:
Active Semi-Supervised Learning for Diffusions on Graphs. ICASSP 2020: 9075-9079 - [c20]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Stochastic Graph Neural Networks. ICASSP 2020: 9080-9084 - [c19]Bianca Iancu, Luana Ruiz, Alejandro Ribeiro, Elvin Isufi:
Graph-Adaptive Activation Functions for Graph Neural Networks. MLSP 2020: 1-6 - [i15]Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
EdgeNets: Edge Varying Graph Neural Networks. CoRR abs/2001.07620 (2020) - [i14]Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro:
Graphs, Convolutions, and Neural Networks. CoRR abs/2003.03777 (2020) - [i13]Leila Ben Saad, Baltasar Beferull-Lozano, Elvin Isufi:
Quantization Analysis and Robust Design for Distributed Graph Filters. CoRR abs/2004.06692 (2020) - [i12]Alberto Natali, Elvin Isufi, Geert Leus:
Forecasting Multi-Dimensional Processes over Graphs. CoRR abs/2004.08260 (2020) - [i11]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Stochastic Graph Neural Networks. CoRR abs/2006.02684 (2020) - [i10]Alberto Natali, Mario Coutino, Elvin Isufi, Geert Leus:
Online Time-Varying Topology Identification via Prediction-Correction Algorithms. CoRR abs/2010.11634 (2020) - [i9]Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi:
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. CoRR abs/2010.14585 (2020)
2010 – 2019
- 2019
- [j9]Jiani Liu, Elvin Isufi, Geert Leus:
Filter Design for Autoregressive Moving Average Graph Filters. IEEE Trans. Signal Inf. Process. over Networks 5(1): 47-60 (2019) - [j8]Mario Coutino, Elvin Isufi, Geert Leus:
Advances in Distributed Graph Filtering. IEEE Trans. Signal Process. 67(9): 2320-2333 (2019) - [j7]Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, Geert Leus:
Forecasting Time Series With VARMA Recursions on Graphs. IEEE Trans. Signal Process. 67(18): 4870-4885 (2019) - [j6]Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus:
Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs. IEEE Trans. Signal Process. 67(24): 6440-6454 (2019) - [c18]Mario Coutino, Elvin Isufi, Fernando Gama, Alejandro Ribeiro, Geert Leus:
Design Strategies for Sparse Control Of Random Time-Varying NETWORKS. ACSSC 2019: 184-188 - [c17]Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. EUSIPCO 2019: 1-5 - [c16]Miao Sun, Elvin Isufi, Natasja M. S. de Groot, Richard C. Hendriks:
A Graph Signal Processing Framework for Atrial Activity Extraction. EUSIPCO 2019: 1-5 - [c15]Leila Ben Saad, Elvin Isufi, Baltasar Beferull-Lozano:
Graph Filtering with Quantization over Random Time-varying Graphs. GlobalSIP 2019: 1-5 - [i8]Ron Levie, Elvin Isufi, Gitta Kutyniok:
On the Transferability of Spectral Graph Filters. CoRR abs/1901.10524 (2019) - [i7]Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. CoRR abs/1903.01298 (2019) - [i6]Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus:
Controllability of Bandlimited Graph Processes Over Random Time-Varying Graphs. CoRR abs/1904.10089 (2019) - 2018
- [j5]Elvin Isufi, Ashvant S. U. Mahabir, Geert Leus:
Blind Graph Topology Change Detection. IEEE Signal Process. Lett. 25(5): 655-659 (2018) - [j4]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): 3584-3598 (2018) - [c14]Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus:
Observing Bandlimited Graph Processes from Subsampled Measurements. ACSSC 2018: 168-174 - [c13]Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus:
On The Limits of Finite-Time Distributed Consensus Through Successive Local Linear Operations. ACSSC 2018: 993-997 - [c12]Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro:
Control of Graph Signals Over Random Time-Varying Graphs. ICASSP 2018: 4169-4173 - [c11]Elvin Isufi, Paolo Di Lorenzo, Paolo Banelli, Geert Leus:
Distributed Wiener-Based Reconstruction of Graph Signals. SSP 2018: 21-25 - [i5]Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, Geert Leus:
Forecasting Time Series with VARMA Recursions on Graphs. CoRR abs/1810.08581 (2018) - 2017
- [j3]Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus:
Autoregressive Moving Average Graph Filtering. IEEE Trans. Signal Process. 65(2): 274-288 (2017) - [j2]Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus:
Filtering Random Graph Processes Over Random Time-Varying Graphs. IEEE Trans. Signal Process. 65(16): 4406-4421 (2017) - [c10]Andreas Loukas, Elvin Isufi, Nathanaël Perraudin:
Predicting the evolution of stationary graph signals. ACSSC 2017: 60-64 - [c9]Mario Coutino, Elvin Isufi, Geert Leus:
Distributed edge-variant graph filters. CAMSAP 2017: 1-5 - [c8]Paolo Di Lorenzo, Elvin Isufi, Paolo Banelli, Sergio Barbarossa, Geert Leus:
Distributed recursive least squares strategies for adaptive reconstruction of graph signals. EUSIPCO 2017: 2289-2293 - [c7]Jiani Liu, Elvin Isufi, Geert Leus:
Autoregressive moving average graph filter design. GlobalSIP 2017: 593-597 - [c6]Elvin Isufi, Andreas Loukas, Geert Leus:
Autoregressive moving average graph filters a stable distributed implementation. ICASSP 2017: 4119-4123 - [c5]Elvin Isufi, Geert Leus:
Distributed sparsified graph filters for denoising and diffusion tasks. ICASSP 2017: 5865-5869 - [i4]Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus:
Filtering Random Graph Processes Over Random Time-Varying Graphs. CoRR abs/1705.00442 (2017) - [i3]Paolo Di Lorenzo, Paolo Banelli, Elvin Isufi, Sergio Barbarossa, Geert Leus:
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies. CoRR abs/1709.03726 (2017) - 2016
- [j1]Elvin Isufi, Henry Dol, Geert Leus:
Advanced flooding-based routing protocols for underwater sensor networks. EURASIP J. Adv. Signal Process. 2016: 52 (2016) - [c4]Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus:
Separable autoregressive moving average graph-temporal filters. EUSIPCO 2016: 200-204 - [c3]Elvin Isufi, Geert Leus, Paolo Banelli:
2-Dimensional finite impulse response graph-temporal filters. GlobalSIP 2016: 405-409 - [i2]Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus:
Distributed Time-Varying Graph Filtering. CoRR abs/1602.04436 (2016) - [i1]Elvin Isufi, Geert Leus, Paolo Banelli:
2-Dimensional Finite Impulse Response Graph-Temporal Filters. CoRR abs/1605.08964 (2016) - 2015
- [c2]Elvin Isufi, Andrea Simonetto, Andreas Loukas, Geert Leus:
Stochastic graph filtering on time-varying graphs. CAMSAP 2015: 89-92 - 2014
- [c1]Elvin Isufi, Geert Leus, Henry Dol:
Network Coding for Flooding-Based Routing in Underwater Sensor Networks. WUWNet 2014: 4:1-4:5
Coauthor Index
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