AIBullisharXiv – CS AI · 18h ago7/10
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What Makes a Desired Graph for Relational Deep Learning?
Researchers identify fundamental design principles for converting relational databases into graphs optimized for graph neural networks, demonstrating that schema-derived graphs suffer from information overload and semantic fragmentation. An automated structural optimizer applying filtering and injection techniques consistently improves performance across 26 tasks while reducing inference costs.