图学习学术速递[2021/10/15]

Graph相关(图学习|图神经网络|图优化等)(9篇)

[ 1 ] Graph Condensation for Graph Neural Networks
图神经网络的图凝聚
链接：https://arxiv.org/abs/2110.07580
作者：Wei Jin,Lingxiao Zhao,Shichang Zhang,Yozen Liu,Jiliang Tang,Neil Shah
机构：Michigan State University, Carnegie Mellon University, UCLA, Snap Inc.
备注：16 pages, 4 figures

[ 2 ] sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs
sMGC：有向图的磁拉普拉斯复值图卷积网络
链接：https://arxiv.org/abs/2110.07570
作者：Jie Zhang,Bo Hui,Po-Wei Harn,Min-Te Sun,Wei-Shinn Ku
机构： National Central University, Taiwan, Auburn University, United States
备注：9 pages, 7 figures, 5 tables

[ 3 ] Asymmetric Graph Representation Learning
非对称图表示学习
链接：https://arxiv.org/abs/2110.07436
作者：Zhuo Tan,Bin Liu,Guosheng Yin
机构：Center of Statistical Research, Southwestern University of Finance and Economics, Department of Statistics and Actuarial Science, University of Hong Kong

[ 4 ] Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer
用分子间图形转换器改进的药物-靶向相互作用预测
链接：https://arxiv.org/abs/2110.07347
作者：Siyuan Liu,Yusong Wang,Tong Wang,Yifan Deng,Liang He,Bin Shao,Jian Yin,Nanning Zheng,Tie-Yan Liu
机构：School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China, Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China, Microsoft Research Asia, Beijing, China

[ 5 ] ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
REGVD：用于漏洞检测的重访图神经网络
链接：https://arxiv.org/abs/2110.07317
作者：Van-Anh Nguyen,Dai Quoc Nguyen,Van Nguyen,Trung Le,Quan Hung Tran,Dinh Phung
机构： VNU - University of Science, Vietnam, Oracle, Australia, Monash University, Australia, Adobe Research, San Jose, CA, USA
备注：The first two authors contributed equally. The code will be available soon at: this https URL

[ 6 ] Why Propagate Alone? Parallel Use of Labels and Features on Graphs
为什么要单独宣传呢？图上标注和要素的并行使用
链接：https://arxiv.org/abs/2110.07190
作者：Yangkun Wang,Jiarui Jin,Weinan Zhang,Yongyi Yang,Jiuhai Chen,Quan Gan,Yong Yu,Zheng Zhang,Zengfeng Huang,David Wipf
机构：Shanghai Jiao Tong University,Fudan University,University of Maryland,Amazon

[ 7 ] SoGCN: Second-Order Graph Convolutional Networks
SoGCN：二阶图卷积网络
链接：https://arxiv.org/abs/2110.07141
作者：Peihao Wang,Yuehao Wang,Hua Lin,Jianbo Shi
机构： ShanghaiTech University 2AI Lab, University of Pennsylvania
备注：15 pages, 7 figures

[ 8 ] Scalable Graph Embedding LearningOn A Single GPU
单GPU上的可伸缩图嵌入学习
链接：https://arxiv.org/abs/2110.06991
作者：Azita Nouri,Philip E. Davis,Pradeep Subedi,Manish Parashar
机构：∗ School of Computer Science, Rutgers University, NJ, USA, † Scientific Computing Imaging Institute, University of Utah, Salt Lake City, UT, USA

[ 9 ] On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires
关于具有大量边重连线的低通图过滤的稳定性
链接：https://arxiv.org/abs/2110.07234
作者：Hoang-Son Nguyen,Yiran He,Hoi-To Wai
机构：The Chinese University of Hong Kong, Shatin, Hong Kong SAR of China.

标签：10,15,Graph,University,arxiv,abs,2021,https,org
来源： https://www.cnblogs.com/BlairGrowing/p/15416584.html