Multi-Layered Graph Neural Networks

Graph Neural Networks (GNNs) offer a fundamentally different approach to capturing knowledge and enhancing AI capabilities. By modelling information as interconnected relationships rather than static embeddings, we unlock new capabilities including intelligent search, personalisation, and advanced reasoning.

Research Context

This research explores how multi-layered GNN architectures can outperform traditional large-model approaches whilst being more agile, powerful, and cost-effective.

Intelligent Search

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Twin AI Systems

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Dynamic Embeddings

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Graph Traversal Optimisation

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Experimental Results

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Future Directions

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