Tabular data is arguably one of the most commonly used data structures in various practical domains, including finance, healthcare and e-commerce.The inherent heterogeneity allows tabular data to store rich information.However, based on a recently published tabular benchmark, we can see deep neural networks still fall behind tree-based models on tabular datasets.In this paper, we propose Trompt–which stands for Tabular Prompt–a novel architecture inspired by prompt learning of language models.Th…