Yunze Leng

Tab-PET: Graph-Based Positional Encodings for Tabular Transformers

Supervised learning with tabular data presents unique challenges, including low data sizes, the absence of structural cues, and heterogeneous features spanning both categorical and continuous domains. Unlike vision and language tasks, where models can exploit inductive biases in the data, tabular da