arXiv (OAI Expanded)
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GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
The class imbalance problem refers to the disproportionate distribution of samples across different classes within a dataset, where the minority classes are significantly underrepresented. This issue is also prevalent in graph-structured data. Most graph neural networks (GNNs) implicitly assume a ba
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