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P. Lapsiwala

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#graph neural networks Oct 2026

Attention-enhanced graph neural networks for nonlinearity compensation in optical fiber communication

This paper presents AEGNN (attention-enhanced graph neural network), framework that integrated Graph Attention Networks (GAT) with multi-head self-attention mechanisms to model space-time topology of optical networks and is the first fully reproducible framework combining attention-based GNNs with open-source optical c...

P. Lapsiwala · 0 citations

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