Relational Hypergraph Transformer (RHT) introduced as unified architecture for multi-table learning in relational data
Read the original at arxiv.org→arXiv:2608.26149v1 Announce Type: new Abstract: Multi-table learning remains a major challenge in machine learning for healthcare and other complex information systems. Relational data combine several sources of...
Original headline: "Methodological and Conceptual Framework for 5D Multi-Table Analysis: A Unified Approach for Complex Data Reuse"
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- Aug 28, 04:00 UTC arXiv cs.AI lead source Methodological and Conceptual Framework for 5D Multi-Table Analysis: A Unified Approach for Complex Data Reuse