On a private simulated scheduling benchmark, a GNN with message passing and global-local fusion reports higher task completion and lower latency than four baselines, without released code, data, or error bars.
Distributed graph neural network training: A survey,
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Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems
On a private simulated scheduling benchmark, a GNN with message passing and global-local fusion reports higher task completion and lower latency than four baselines, without released code, data, or error bars.