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Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:  Lin, Xixun;  Zhou, Chuan;  Wu, Jia;  Yang, Hong;  Wang, Haibo;  Cao, Yanan;  Wang, Bin
收藏  |  浏览/下载：140/0  |  提交时间：2023/02/07
Gradient -based attacks  Maximal gradient  Graph neural networks  Semi-supervised node classification  
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Lin, Xixun;  Li, Zhao;  Zhang, Peng;  Liu, Luchen;  Zhou, Chuan;  Wang, Bin;  Tian, Zhihong
收藏  |  浏览/下载：109/0  |  提交时间：2023/02/07
Task analysis  Kernel  Training  Decoding  Stochastic processes  Predictive models  Computational modeling  Few-shot learning  graph classification  graph neural networks (GNNs)  neural process (NP)  
Deep spatial-temporal structure learning for rumor detection on Twitter 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020, 页码: 11
作者:  Huang, Qi;  Zhou, Chuan;  Wu, Jia;  Liu, Luchen;  Wang, Bin
收藏  |  浏览/下载：165/0  |  提交时间：2020/09/23
Rumor detection  Spatial-temporal structure learning  
Super solutions of random (3+p)-SAT 期刊论文
THEORETICAL COMPUTER SCIENCE, 2019, 卷号: 793, 页码: 14-27
作者:  Wang, Bin;  Zhou, Guangyan
收藏  |  浏览/下载：207/0  |  提交时间：2020/01/10
(1,0)-satisfiable  Super solution  Phase transition  Unit Clause  
Model-based understanding of single-cell CRISPR screening 期刊论文
NATURE COMMUNICATIONS, 2019, 卷号: 10, 页码: 11
作者:  Duan, Bin;  Zhou, Chi;  Zhu, Chengyu;  Yu, Yifei;  Li, Gaoyang;  Zhang, Shihua;  Zhang, Chao;  Ye, Xiangyun;  Ma, Hanhui;  Qu, Shen;  Zhang, Zhiyuan;  Wang, Ping;  Sun, Shuyang;  Liu, Qi
收藏  |  浏览/下载：192/0  |  提交时间：2020/01/10
Confident estimation for density of a biological population based on line transect sampling 期刊论文
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2010, 卷号: 26, 期号: 1, 页码: 79-92
作者:  Gong, Ren-bin;  Ma, Yun-bei;  Zhou, Yong
收藏  |  浏览/下载：107/0  |  提交时间：2018/07/30
Line transect sampling  Confident interval estimation  Stopping rule  Bias reduction