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So-Bin Jung

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Book Open access Aug 2026

HyperGC: Learning Hypergraph Representations via Full Hyperedge Reconstruction and Contrastive Evaluation

The proposed HyperGC is a hybrid self-supervised HRL framework that unifies generative and contrastive learning through two core strategies: (S1) full hyperedge reconstruction via progressive selection with dynamic target cross-entropy, and (S2) multi-view contrastive evaluation without handcrafted negative samples.

D. Y. Kang, So-Bin Jung, Sang-Wook Kim · 0 citations

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