WebEnter the email address you signed up with and we'll email you a reset link. WebTitle: Intrusion-Free Graph Mixup Authors: Hongyu Guo and Yongyi Mao Abstract summary: We present a simple and yet effective regularization technique to improve the generalization of Graph Neural Networks (GNNs) We leverage the recent advances in Mixup regularizer for vision and text, where random sample pairs and their labels are …

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WebSep 15, 2024 · Mixup is a recent regularizer for current deep classification networks. Through training a neural network on convex combinations of pairs of examples and their labels, it imposes locally linear constraints on the model's input space. However, such strict linear constraints often lead to under-fitting which degrades the effects of regularization. WebOct 18, 2024 · Intrusion-Free Graph Mixup. We present a simple and yet effective interpolation -based regularization technique to improve the generalization of Graph … how many items fit in a double chest

论文笔记：arXiv

WebSep 26, 2024 · “Intrusion-Free Graph Mixup.” Guo, Zhichun, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, and Nitesh V Chawla. 2024. “Few-Shot Graph Learning for Molecular Property Prediction.” arXiv Preprint arXiv:2102.07916 . WebABSTRACT. Mixup is an advanced data augmentation method for training neural network based image classifiers, which interpolates both features and labels of a pair of images … Webmixing the graph representation resulting from passing the graph through the GNNs. Our paper here introduces the first input mixing method for Mixup to augment training data … how many items does the office clipboard hold