Data Augmentation with Attentional Feature Aggregation for Node Classification in GNNs

doi:10.1016/j.inffus.2025.104089

Data Augmentation with Attentional Feature Aggregation for Node Classification in GNNs

2025-12-24

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DOI：10.1016/j.inffus.2025.104089

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• Introduces GraphAFA to address class imbalance in graph classification • Uses attention to capture high-order node relationships for better features • Aggregates neighbors to generate homogeneous minority nodes • Outperforms state-of-the-art methods on benchmark datasets

Data Augmentation with Attentional Feature Aggregation for Node Classification in GNNs

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