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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：197/0  |  提交时间：2023/02/07
Gradient -based attacks  Maximal gradient  Graph neural networks  Semi-supervised node classification  
Deep graph level anomaly detection with contrastive learning 期刊论文
SCIENTIFIC REPORTS, 2022, 卷号: 12, 期号: 1, 页码: 11
作者:  Luo, Xuexiong;  Wu, Jia;  Yang, Jian;  Xue, Shan;  Peng, Hao;  Zhou, Chuan;  Chen, Hongyang;  Li, Zhao;  Sheng, Quan Z.
收藏  |  浏览/下载：109/0  |  提交时间：2023/02/07
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：152/0  |  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)  
Towards embedding information diffusion data for understanding big dynamic networks 期刊论文
NEUROCOMPUTING, 2021, 卷号: 466, 页码: 265-284
作者:  Yang, Hong;  Zhang, Peng;  Wang, Haishuai;  Zhou, Chuan;  Li, Zhao;  Gao, Li;  Tan, Qingfeng
收藏  |  浏览/下载：165/0  |  提交时间：2022/04/02
Network coarsening  Information diffusion  Graph data mining  
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：202/0  |  提交时间：2020/09/23
Rumor detection  Spatial-temporal structure learning