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Found 2 papers, 2 papers with code
Total Variation Graph Neural Networks
Recently proposed Graph Neural Networks (GNNs) for vertex clustering are trained with an unsupervised minimum cut objective, approximated by a Spectral Clustering (SC) relaxation.
Power Flow Balancing with Decentralized Graph Neural Networks
We propose an end-to-end framework based on a Graph Neural Network (GNN) to balance the power flows in energy grids.
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