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Soji Adeshina

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation

    2021 · arXiv (Cornell University)

    Consistency training is a popular method to improve deep learning models in computer vision and natural language processing. Graph neural networks (GNNs) have achieved remarkable performance in a variety of network science learning tasks, but …