I. Wayangkau

Decoupled Feature Propagation and Structural Boosting: A Robust Framework for Node Classification on Heterophilous Graphs

Standard Graph Neural Networks (GNNs) frequently struggle with heterophilous structures where local proximity does not imply label similarity, leading to significant performance degradation due to signal oversmoothing. This study aimed to bridge the gap between theoretical complexity and empirical reliability by propos...