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Topology-Driven Edge Predictions with Graph Machine Learning for Optical Network Growth

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Abstract

Graph representation learning on real-world optical core networks outperforms edge prediction heuristics by 10 times, achieving up to 93.4% accuracy on BT(UK), COST(EU), and CORONET(USA) by learning from 10% training data.

© 2024 The Author(s)

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