HOPE: Heterophily-Aware Open-Set Node Classification with Pseudo-Extrapolation
To adapt open-set graph neural networks to heterophilic scenarios, HOPE uses a structure-augmented feature initialization layer to capture multi-hop structural patterns, and introduces a heterophily-guided pseudo-extrapolation strategy to enhance unknown-class rejection.
Yumeng Dai, Yue Tan, Yi-Xin Liu et al.
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