24 citations · 48 across the 26 of their papers we have counts for
3 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…
Online Graph-Adaptive Learning with Scalability and Privacy
Yanning Shen, Geert Leus, Georgios B. Giannakis
Graphs are widely adopted for modeling complex systems, including financial, biological, and social networks. Nodes in networks usually entail attributes, such as the age or gender…
MIMO Graph Filters for Convolutional Neural Networks
Fernando Gama, Antonio G. Marques, Alejandro Ribeiro +1
Superior performance and ease of implementation have fostered the adoption of Convolutional Neural Networks (CNNs) for a wide array of inference and reconstruction tasks. CNNs impl…