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  • Curious how it handles foreign key traversal at inference time, in my experience that's where tabular models tend to fall apart when the join graph isn't seen during pre training.
  • The whole graph is walked at inference time to create the context. There is an attention feature, called 'neighbor attention', that propagate signals along primary-foreign key relationships. The task table includes the foreign keys themselves.