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Dirichlet Energy Constrained Learning for Deep Graph Neural Networks


Jul 06, 2021
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu


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Simplifying Deep Reinforcement Learning via Self-Supervision


Jun 10, 2021
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu


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DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization


Mar 26, 2021
Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu


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Towards Interaction Detection Using Topological Analysis on Neural Networks


Nov 04, 2020
Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting Hsiang Wang, Ying Shan, Xia Hu


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Policy-GNN: Aggregation Optimization for Graph Neural Networks


Jun 26, 2020
Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu

* Accepted by ACM SIGKDD'20 research track 

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AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning


Jun 19, 2020
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu


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Towards Deeper Graph Neural Networks with Differentiable Group Normalization


Jun 12, 2020
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu


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Multi-Channel Graph Convolutional Networks


Dec 17, 2019
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu


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Auto-GNN: Neural Architecture Search of Graph Neural Networks


Sep 10, 2019
Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu


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Experience Replay Optimization


Jun 19, 2019
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu


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