: Decoupled Feature Propagation and
Heru Ismanto, Izak Habel
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Open access
Oct 2026
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...
Heru Ismanto, I. Wayangkau
· Engineering, Technology &... · 0 citations