Graph condensation for graph neural networks
Given the prevalence of large-scale graphs in real-world applications, the storage and time
for training neural models have raised increasing concerns. To alleviate the concerns, we …
for training neural models have raised increasing concerns. To alleviate the concerns, we …
ifmixup: Interpolating graph pair to regularize graph classification
H Guo, Y Mao - arXiv preprint arXiv:2110.09344, 2021 - arxiv.org
We present a simple and yet effective interpolation-based regularization technique, aiming
to improve the generalization of Graph Neural Networks (GNNs) on supervised graph …
to improve the generalization of Graph Neural Networks (GNNs) on supervised graph …