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degree bia

6 papers

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graph neural network (4) node classification (4) representation learning (2) neighbor homophily (1) node representation (1) graph convolutional network (1) graph contrastive learning (1) test-time augmentation (1) hypergraph representation learning (1) heterogeneous hypergraph (1)

Papers

Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure Approach EACL 2026 Aggregation Buffer: Revisiting DropEdge with a New Parameter Block ICML 2025 Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks NeurIPS 2024 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation NeurIPS 2023 On Generalized Degree Fairness in Graph Neural Networks AAAI 2023 Uncovering the Structural Fairness in Graph Contrastive Learning NeurIPS 2022