Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework for Missing Feature Imputation
arXiv:2512.06356v3 Announce Type: replace
Abstract: Incomplete node features are ubiquitous in real-world scenarios such as user profiling and cold-start recommendation, which severely hinders the practical deployment of graph learning systems (e.g., …