ملف الباحث
F. Zeng
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
2025 · arXiv (Cornell University)
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 …