Publications associées à Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]

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The power of adaptivity in source identification with time queries on the path

Patrick Thiran, Gergely Odor, Victor Cyril L Lecomte

We study the problem of identifying the source of a stochastic diffusion process spreading on a graph based on the arrival times of the diffusion at a few queried nodes. In a graph

G=(V,E)

, an unknown source node

v^* \in V

is drawn uniformly at random, ...

2022

Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]

Graph Chatbot

Chattez avec Graph Search

The connection of the acyclic disconnection and feedback arc sets - On an open problem of Figueroa et al.

Discovering Influencers in Opinion Formation Over Social Graphs

Privatized graph federated learning

Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables

Equilibria in Network Constrained Energy Markets

Graph neural networks for dynamic modeling of roller bearings

Distributed Graph Learning With Smooth Data Priors

Maintenance scheduling of manufacturing systems based on optimal price of the network

The power of adaptivity in source identification with time queries on the path

Adaptive majority problems for restricted query graphs and for weighted sets

The connection of the acyclic disconnection and feedback arc sets - On an open problem of Figueroa et al.

Discovering Influencers in Opinion Formation Over Social Graphs

Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables

Privatized graph federated learning

Maintenance scheduling of manufacturing systems based on optimal price of the network

Equilibria in Network Constrained Energy Markets

Distributed Graph Learning With Smooth Data Priors

Adaptive majority problems for restricted query graphs and for weighted sets

The power of adaptivity in source identification with time queries on the path

Graph neural networks for dynamic modeling of roller bearings