268 citations · 1.1k across the 58 of their papers we have counts for
5 papers · 1 filter
Simplicial Convolutional Neural Networks
Maosheng Yang, Elvin Isufi, Geert Leus
Graphs can model networked data by representing them as nodes and their pairwise relationships as edges. Recently, signal processing and neural networks have been extended to proce…
Learning Time-Varying Graphs from Online Data
Alberto Natali, Elvin Isufi, Mario Coutino +1
This work proposes an algorithmic framework to learn time-varying graphs from online data. The generality offered by the framework renders it model-independent, i.e., it can be the…
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations
Zhan Gao, Elvin Isufi, Alejandro Ribeiro
Graph convolutional neural networks (GCNNs) are nonlinear processing tools to learn representations from network data. A key property of GCNNs is their stability to graph perturbat…
Finite Impulse Response Filters for Simplicial Complexes
Maosheng Yang, Elvin Isufi, Michael T. Schaub +1
In this paper, we study linear filters to process signals defined on simplicial complexes, i.e., signals defined on nodes, edges, triangles, etc. of a simplicial complex, thereby g…
Graph-Time Convolutional Neural Networks
Elvin Isufi, Gabriele Mazzola
Spatiotemporal data can be represented as a process over a graph, which captures their spatial relationships either explicitly or implicitly. How to leverage such a structure for l…