G-mixup: Graph data augmentation for graph classification

X Han, Z Jiang, N Liu, X Hu - International Conference on …, 2022 - proceedings.mlr.press
This work develops mixup for graph data. Mixup has shown superiority in improving the
generalization and robustness of neural networks by interpolating features and labels …

G-Mixup: Graph Data Augmentation for Graph Classification

X Han, Z Jiang, N Liu, X Hu - arXiv preprint arXiv:2202.07179, 2022 - arxiv.org
This work develops\emph {mixup for graph data}. Mixup has shown superiority in improving
the generalization and robustness of neural networks by interpolating features and labels …

G-Mixup: Graph Data Augmentation for Graph Classification

X Han, Z Jiang, N Liu, X Hu - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
This work develops\emph {mixup for graph data}. Mixup has shown superiority in improving
the generalization and robustness of neural networks by interpolating features and labels …

[PDF][PDF] G-Mixup: Graph Data Augmentation for Graph Classification

X Han, Z Jiang, N Liu, X Hu - icml.cc
G-Mixup: Graph Data Augmentation for Graph Classification Page 1 G-Mixup: Graph Data
Augmentation for Graph Classification Xiaotian Han1, Zhimeng Jiang1, Ninghao Liu2, Xia Hu3 …

[PDF][PDF] G-Mixup: Graph Data Augmentation for Graph Classification

X Han, Z Jiang, N Liu, X Hu - ahxt.github.io
G-Mixup: Graph Data Augmentation for Graph Classification Page 1 G-Mixup: Graph Data
Augmentation for Graph Classification Xiaotian Han1, Zhimeng Jiang1, Ninghao Liu2, Xia Hu3 …

[PDF][PDF] G-Mixup: Graph Data Augmentation for Graph Classification

X Han, Z Jiang, N Liu, X Hu - academia.edu
This work develops mixup for graph data. Mixup has shown superiority in improving the
generalization and robustness of neural networks by interpolating features and labels …