随笔分类 - 论文解读
摘要:论文信息 论文标题:Variational Graph Auto-Encoders论文作者:Thomas Kipf, M. Welling论文来源:2016, ArXiv论文地址:download 论文代码:download 1 Introduce 变分自编码器在图上的应用,该框架可以自行参考变分自
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摘要:论文信息 论文标题:Graph Contrastive Learning with Augmentations论文作者:Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen论文来源:2020, Neu
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摘要:Paper Information Title:Cauchy Graph EmbeddingAuthors:Dijun Luo, C. Ding, F. Nie, Heng HuangSources:2011, ICMLOthers:71 Citations, 30 References Abstr
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摘要:论文信息 论文标题:How Powerful are Graph Neural Networks论文作者:Keyulu Xu, Weihua Hu, J. Leskovec, S. Jegelka论文来源:2019, ICLR论文地址:download 论文代码:download 1 Introdu
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摘要:论文信息 论文标题:Geom-GCN: Geometric Graph Convolutional Networks论文作者:Hongbin Pei, Bingzhen Wei, K. Chang, Yu Lei, Bo Yang论文来源:2020, ICLR论文地址:download 论文代码:d
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摘要:论文信息 论文标题:Attributed Graph Clustering: A Deep Attentional Embedding Approach论文作者:Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zh
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摘要:论文信息 论文标题:Attention-driven Graph Clustering Network论文作者:Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou论文来源:2021, ACM Multimedia论文地址:download 论文代码:downlo
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摘要:论文信息 论文标题:Improved Deep Embedded Clustering with Local Structure Preservation论文作者:Xifeng Guo, Long Gao, Xinwang Liu, Jianping Yin论文来源:2017, IJCAI论文地址:
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摘要:论文信息 论文标题:Generative Adversarial Networks论文作者:Ian J. Goodfellow, Jean Pouget-Abadie ......论文来源:2014, NIPS论文地址:download 论文代码:download 1 Introduction 本文
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摘要:论文信息 论文标题:Deep Fusion Clustering Network论文作者:Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng论文来源:2020, AAAI论文地址:do
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论文解读(GALA)《Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning》
摘要:论文信息 论文标题:Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning论文作者:Jiwoong Park、Minsik Lee、H. Chang、Kyuewang Lee、J
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摘要:Paper Information Titlel:《Semi-Supervised Classification with Graph Convolutional Networks》Authors:Thomas Kipf, M. WellingSource:2016, ICLRPaper:Downl
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摘要:感悟 看完图卷积一代、二代,深感图卷积的强大,刚开始接触图卷积的时候完全不懂为什么要使用拉普拉斯矩阵( $L=D-W$),主要是其背后的物理意义。通过借鉴前辈们的论文、博客、评论逐渐对图卷积有了一定的了解,作为一个刚上研的博士生,深感得对图神经网络进行一个系统的学习。 本篇论文得感谢论文 David
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摘要:Paper Information Title:《Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering》Authors:Michaël Defferrard、Xavier Bresson、Pier
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摘要:论文信息 论文标题:Inductive Representation Learning on Large Graphs论文作者:William L. Hamilton, Rex Ying论文来源:2017, NIPS论文地址:download 论文代码:download 1 Introduction
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摘要:Paper information Tittle:《Spectral Networks and Locally Connected Networks on Graphs》 Authors:Joan Bruna、Wojciech Zaremba、Arthur Szlam、Yann LeCun Sour
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摘要:论文信息 论文标题:Unsupervised Deep Embedding for Clustering Analysis论文作者:Junyuan Xie, Ross Girshick, Ali Farhadi论文来源:2016,ICML论文地址:download 论文代码:download 1 I
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摘要:论文信息 论文标题:Structural Deep Clustering Network论文作者:Junyuan Xie, Ross Girshick, Ali Farhadi论文来源:2020, WWW论文地址:download 论文代码:download 1 Introduction 深度聚类同
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摘要:part1/经典款论文 1. KDD 2016,Node2vec 经典必读第一篇,平衡同质性和结构性 《node2vec: Scalable Feature Learning for Networks》 2. WWW2015,LINE 1阶+2阶相似度 《Line: Large-scale info
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摘要:论文题目:《GraRep: Learning Graph Representations with Global Structural Information》发表时间: CIKM论文作者: Shaosheng Cao; Wei Lu; Qiongkai Xu论文地址: DownloadGithub
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