Jun YinSchool of Computer Science University ofTechnology Sydney关注立即认领分享关注立即认领分享基本信息浏览量:35职业迁徙个人简介暂无内容研究兴趣论文共 13 篇作者统计合作学者相似作者按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选时间引用量主题期刊级别合作者合作机构V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted GraphsSenzhang Wang,Jun Yin,Chaozhuo Li,Xing Xie,Jianxin WangNeurIPS (2023)引用0浏览0EI引用00Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural NetworksJun Yin,Chaozhuo Li, Hao Yan,Jianxun Lian,Senzhang WangNeurIPS (2023)引用1浏览0EI引用10Hierarchical Graph Contrastive Learning Hao Yan,Senzhang Wang,Jun Yin,Chaozhuo Li,Junxing Zhu,Jianxin WangMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT II (2023): 700-715引用0浏览0引用00Adversarial Hard Negative Generation for Complementary Graph Contrastive LearningSenzhang Wang, Hao Yan, Jinlong Du,Jun Yin,Junxing Zhu,Chaozhuo Li,Jianxin WangSDMpp.163-171, (2023)引用0浏览0EI引用00Leveraging multi-level dependency of relational sequences for social spammer detectionJun Yin,Qian Li,Shaowu Liu,Zhiang Wu,Guandong XuNeurocomputing(2021)引用15浏览0EI引用150Prediction and Analysis of Rumour's Impact on Social MediaJun Yin,Shaowu Liu,Qian Li,Guandong Xu2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)(2019)引用0浏览0EIWOS引用00Research on an Economic Localization Approach Fengchun Yin,Jun YinComputer and Information Science(2019)引用0浏览0EI引用00Indoor localization based on BluetoothJun Yin, Fengchun YinArtif. Intell. Research(2019)引用1浏览0EI引用10Knowledge-Based Recommendation with Hierarchical Collaborative EmbeddingZili Zhou,Shaowu Liu,Guandong Xu,Xing Xie,Jun Yin,Yidong Li,Wu ZhangADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2018, PT II(2018)引用9浏览0EI引用90Social Spammer Detection: A Multi-Relational Embedding ApproachJun Yin,Zili Zhou,Shaowu Liu,Zhiang Wu,Guandong XuADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2018, PT I(2018)引用5浏览0EI引用50加载更多作者统计合作学者合作机构D-Core合作者学生导师暂无相似学者,你可以通过学者研究领域进行搜索筛选数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn