Photonics-Enhanced Graph Convolutional Networks

This article likely discusses a novel approach to graph convolutional networks (GCNs) by leveraging photonics. The use of photonics could potentially lead to improvements in speed, energy efficiency, and computational capabilities compared to traditional electronic implementations of GCNs. The focus is on a specific research area, likely exploring the intersection of optics and machine learning.