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Relational Foundation Models for Enterprise Data

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Jure Leskovec connects data-driven biological modelling with relational deep learning. Topics include multiscale virtual-cell models, treating databases as graphs and using in-context prediction across multiple tables. The discussion also covers benchmark evaluation, explanations, agent integration and the practical limitations of relational foundation models.

Topics

data-driven biological modellingrelational deep learningmultiscale virtual-cell modelsdatabases as graphsin-context predictionbenchmark evaluationagent integrationrelational foundation models

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