[Tutorial] Graph Neural Networks for Wireless Communications

Deep Dive into Networked AI
20/12/2024 25 min Temporada 1 Episodio 3

Listen "[Tutorial] Graph Neural Networks for Wireless Communications"

Descargar episodio Ver en sitio original

Episode Synopsis

In this episode, we dive into our own tutorial (IEEE ICMLCN, MILCOM 2024) on how could graph neural networks be used to enhance wireless communications.
Generated using NotebookLM from Google, this podcast highlights the key findings and implications of this research.🎧 Read the slides here: [Link to tutorial]📷 Cover Image Source: imagine.art🎵 BGM: Artlist.io🛠️ Credits: NotebookLM by Google

More episodes of the podcast Deep Dive into Networked AI

[Deep Dive] AirGNN: Graph Neural Networks over the air for Wireless Networks 10/02/2025
[Deep Dive] GLANCE: Graph-based Learnable Digital Twin for Wireless Networks 31/01/2025
[Deep Dive] Opportunities and Challenges of Graph Neural Networks in Electrical Engineering 24/01/2025
[Deep Dive] Fully Distributed Online Training of GNNs in Networked Systems 17/01/2025
[Deep Dive] Learning Decentralized Wireless Resource Allocations with Graph Neural Networks 10/01/2025
[Deep Dive] Annealed Langevin Dynamics for Linear Inverse Problems 03/01/2025
[Deep Dive] Neural OFDM Receivers for Wireless Communications 27/12/2024
[Deep Dive] Distributional Reinforcement Learning 17/12/2024
[ICLR 2023] Graph-Based Deterministic Policy Gradient for Repetitive Combinatorial Optimization 13/12/2024
© 2003-2026 ZARZA | AHEAD OF OUR TIME
privacy policy
In God we trust In God we trust
PreSales Questions? Click Here
or call our toll-free line at +1-888-5002068 Miami, Florida, USA