随笔分类 - 论文解读
摘要:论文信息 论文标题:Iterative Graph Self-Distillation论文作者:Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing论文来源:2021, ICLR论
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摘要:论文信息 论文标题:Graph infoclust: Leveraging cluster-level node information for unsupervised graph representation learning论文作者:Costas Mavromatis, G. Karypis论
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摘要:论文信息 论文标题:Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning论文作者:Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zha
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摘要:论文信息 论文标题:Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning论文作者:Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Go
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摘要:论文信息 论文标题:Understanding Negative Sampling in Graph RepresentationLearning论文作者:Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang论文
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摘要:论文信息 论文标题:Self-supervised Graph Representation Learning via Bootstrapping论文作者:Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Pengpeng Shao, Tong Li
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摘要:论文信息 论文标题:Towards Robust Graph Contrastive Learning论文作者:Nikola Jovanović, Zhao Meng, Lukas Faber, Roger Wattenhofer论文来源:2021, arXiv论文地址:download 论文代码:
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摘要:论文信息 论文标题:CGC: Contrastive Graph Clustering for Community Detection and Tracking论文作者:Namyong Park, Ryan Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddi
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摘要:论文信息 论文标题:Deep Graph Clustering via Dual Correlation Reduction论文作者:Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu论文来
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摘要:论文信息 论文标题:Graph Contrastive Clustering论文作者:Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Shen
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摘要:论文信息 论文标题:Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks论文作者:Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang L
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摘要:论文信息 论文标题:Self-supervised Graph Neural Networks without explicit negative sampling论文作者:Zekarias T. Kefato, Sarunas Girdzijauskas论文来源:2021, WWW论文地址:dow
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摘要:论文信息 论文标题:Large-Scale Representation Learning on Graphs via Bootstrapping论文作者:Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Rémi Munos,
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摘要:论文信息 论文标题:Automated Self-Supervised Learning for Graphs论文作者:Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang论文来源:2022, ICLR论文地址:dow
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摘要:论文信息 论文标题:Graph Contrastive Learning with Adaptive Augmentation论文作者:Yanqiao Zhu、Yichen Xu3、Feng Yu4、Qiang Liu、Shu Wu、Liang Wang论文来源:2021, WWW论文地址:down
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摘要:论文信息 论文标题:Multi-view Contrastive Graph Clustering论文作者:Erlin Pan、Zhao Kang论文来源:2021, NeurIPS论文地址:download论文代码:download 1 介绍 本文贡献: 使用Graph Filter 过滤了高阶噪
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摘要:论文信息 论文标题:Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive论文作者:Lirong Wu, Haitao Lin, Cheng Tan,Zhangyang Gao, and Stan.Z.Li论
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摘要:论文信息 论文标题:Multi-Level Graph Contrastive Learning论文作者:Pengpeng Shao, Tong Liu, Dawei Zhang, J. Tao, Feihu Che, Guohua Yang论文来源:2021, Neurocomputing论文地址
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摘要:论文信息 论文标题:Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning论文作者: Kaize Ding 、Yancheng Wang 、Yingzhen Yang、
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摘要:论文信息 论文标题:Graph Representation Learning via Contrasting Cluster Assignments论文作者:Chun-Yang Zhang, Hong-Yu Yao, C. L. Philip Chen, Fellow, IEEE and Yue-
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