131 citations · 166 across the 15 of their papers we have counts for
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cs.LG2019★ 1 cited
Mutual Information Maximization in Graph Neural Networks
Xinhan Di, Pengqian Yu, Rui Bu +1
A variety of graph neural networks (GNNs) frameworks for representation learning on graphs have been recently developed. These frameworks rely on aggregation and iteration scheme t…
cs.LG2018
Ambient Hidden Space of Generative Adversarial Networks
Xinhan Di, Pengqian Yu, Meng Tian
Generative adversarial models are powerful tools to model structure in complex distributions for a variety of tasks. Current techniques for learning generative models require an ac…
cs.LG2018★ 2 cited
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification
Xinhan Di, Pengqian Yu, Meng Tian
It has been demonstrated that deep neural networks are prone to noisy examples particular adversarial samples during inference process. The gap between robust deep learning systems…