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12/08/2022
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions
As an efficient graph analytical tool, graph neural networks (GNNs) have...
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08/15/2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks
As an efficient neural network model for graph data, graph neural networ...
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04/19/2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Graph neural network (GNN) is an efficient neural network model for grap...
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01/04/2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
The conventional federated learning (FedL) architecture distributes mach...
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09/29/2020
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions
The combinatorial auction (CA) is an efficient mechanism for resource al...
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03/03/2020
Accelerating Generalized Benders Decomposition for Wireless Resource Allocation
Generalized Benders decomposition (GBD) is a globally optimal algorithm ...
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06/07/2019
Graph Embedding based Wireless Link Scheduling with Few Training Samples
Link scheduling in device-to-device (D2D) networks is usually formulated...
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03/05/2019
