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Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks


Aug 07, 2021
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu


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Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks


Jul 21, 2021
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu


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Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks


Mar 01, 2020
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu


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Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks


May 22, 2019
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan


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Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning


Feb 14, 2019
Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu


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Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator


Aug 30, 2018
Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu

* ICDM 2018 

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Distributed Self-Paced Learning in Alternating Direction Method of Multipliers


Jul 06, 2018
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu

* 8 pages, 4 figures, accepted by IJCAI 2018 

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Learning to Fuse Music Genres with Generative Adversarial Dual Learning


Dec 05, 2017
Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu

* International Conference on Data Mining - New Orleans, 2017 

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Multimodal Storytelling via Generative Adversarial Imitation Learning


Dec 05, 2017
Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu

* IJCAI 2017 

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