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Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...

As more businesses incorporate AI agents into their operations, visibility and auditability around their usage is critical to building acceptance and trust. It’s increasingly apparent that the next ...

Developers no longer work in the background. They are at the centre of progress, shaping how GenAI evolves and how it ...

Abstract: Recent progress in research on deep graph networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important ...

Building effective agentic solutions requries an ontology-based single source of truth. Ontology is a business definition of ...