Graph Neural Networks (GNNs) encode graph structure and generate node embeddings for retrieval, but their inference speed is a bottleneck in large-scale systems because the computational cost of message passing across millions of nodes and edges hinders real-time applicability in low-latency enterprise settings (Chiang et al., 2019).

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  Efficient Knowledge Graph Construction and Retrieval from ... - arXiv

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• Efficient Knowledge Graph Construction and Retrieval from ... - arXiv arxiv.org arXiv via serper

Referenced by nodes (2)

• graph neural networks concept
• retrieval concept