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Calibrated Adversarial Training


Oct 11, 2021
Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy

* ACML 2021 accepted,24 pages 

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On Generalization of Graph Autoencoders with Adversarial Training


Aug 04, 2021
Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy

* ECML 2021 Accepted 

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A Survey on Role-Oriented Network Embedding


Jul 18, 2021
Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei

* 20 pages,9 figures, 5 tables 

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Direction-Aggregated Attack for Transferable Adversarial Examples


Apr 19, 2021
Tianjin Huang, Vlado Menkovski, Yulong Pei, YuHao Wang, Mykola Pechenizkiy


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Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks


Apr 16, 2021
Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy

* arXiv admin note: text overlap with arXiv:2009.14738 

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Selfish Sparse RNN Training


Jan 28, 2021
Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy

* 19 pages,10 figures 

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Bridging the Performance Gap between FGSM and PGD Adversarial Training


Nov 07, 2020
Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy


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ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks


Sep 30, 2020
Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy


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Simultaneous Identification of Tweet Purpose and Position


Dec 24, 2019
Rahul Radhakrishnan Iyer, Yulong Pei, Katia Sycara

* 8 pages, 3 figures 

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Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware


Jan 26, 2019
Shiwei Liu, Decebal Constantin Mocanu, Amarsagar Reddy Ramapuram Matavalam, Yulong Pei, Mykola Pechenizkiy

* 14 pages 

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struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding


May 25, 2018
Yulong Pei, Xin Du, Jianpeng Zhang, George Fletcher, Mykola Pechenizkiy


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