中国科学院计算技术研究所机构知识库

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	IDEA: Invariant defense for graph adversarial robustness 期刊论文 INFORMATION SCIENCES, 2024, 卷号: 680, 页码: 18 作者:  Tao, Shuchang;  Cao, Qi;  Shen, Huawei;  Wu, Yunfan;  Xu, Bingbing;  Cheng, Xueqi 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Invariant defense  Adversarial robustness  Causal feature  Graph neural networks
	Identity-Preserving Adversarial Training for Robust Network Embedding 期刊论文 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2024, 卷号: 39, 期号: 1, 页码: 177-191 作者:  Cen, Ke-Ting;  Shen, Hua-Wei;  Cao, Qi;  Xu, Bing-Bing;  Cheng, Xue-Qi 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 network embedding  identity-preserving  adversarial training  adversarial the example
	Adversarial camouflage for node injection attack on graphs 期刊论文 INFORMATION SCIENCES, 2023, 卷号: 649, 页码: 14 作者:  Tao, Shuchang;  Cao, Qi;  Shen, Huawei;  Wu, Yunfan;  Hou, Liang;  Sun, Fei;  Cheng, Xueqi 收藏  |  浏览/下载：22/0  |  提交时间：2023/12/04 Adversarial camouflage  Node injection attack  Adversarial attack  Graph neural networks
	What makes a successful rebuttal in computer science conferences?: A perspective on social interaction 期刊论文 JOURNAL OF INFORMETRICS, 2023, 卷号: 17, 期号: 3, 页码: 14 作者:  Huang, Junjie;  Huang, Win-bin;  Bu, Yi;  Cao, Qi;  Shen, Huawei;  Cheng, Xueqi 收藏  |  浏览/下载：16/0  |  提交时间：2023/12/04 Peer review  Rebuttal analysis  Social network analysis  Social interaction  Rebuttal strategy  Rebuttal success prediction
	Negative Can Be Positive: Signed Graph Neural Networks for Recommendation 期刊论文 INFORMATION PROCESSING & MANAGEMENT, 2023, 卷号: 60, 期号: 4, 页码: 14 作者:  Huang, Junjie;  Xie, Ruobing;  Cao, Qi;  Shen, Huawei;  Zhang, Shaoliang;  Xia, Feng;  Cheng, Xueqi 收藏  |  浏览/下载：15/0  |  提交时间：2023/12/04 Negative feedback  Signed social networks  Graph Neural Networks  Recommender system
	Location-aware convolutional neural networks for graph classification 期刊论文 NEURAL NETWORKS, 2022, 卷号: 155, 页码: 74-83 作者:  Wang, Zhaohui;  Cao, Qi;  Shen, Huawei;  Xu, Bingbing;  Cen, Keting;  Cheng, Xueqi 收藏  |  浏览/下载：20/0  |  提交时间：2023/07/12 Graph classification  Convolutional neural networks  Location-aware