Dual-decoder graph autoencoder for unsupervised graph representation learning
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Zhuanlian Ding | Dengdi Sun | Jin Tang | Xingyi Zhang | Dashuang Li | Xingyi Zhang | Dengdi Sun | Dashuang Li | Jin Tang | Zhuanlian Ding | Xing-yi Zhang
[1] Jian Pei,et al. Asymmetric Transitivity Preserving Graph Embedding , 2016, KDD.
[2] Lise Getoor,et al. Collective Classification in Network Data , 2008, AI Mag..
[3] Philip S. Yu,et al. A Survey of Heterogeneous Information Network Analysis , 2015, IEEE Transactions on Knowledge and Data Engineering.
[4] Fu-Lai Chung,et al. Deep Network Embedding for Graph Representation Learning in Signed Networks , 2019, IEEE Transactions on Cybernetics.
[5] H. Kuhn. The Hungarian method for the assignment problem , 1955 .
[6] L. Getoor,et al. Link-Based Classification , 2003, Encyclopedia of Machine Learning and Data Mining.
[7] Enhong Chen,et al. Learning Deep Representations for Graph Clustering , 2014, AAAI.
[8] Kevin Chen-Chuan Chang,et al. A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications , 2017, IEEE Transactions on Knowledge and Data Engineering.
[9] Jie Chen,et al. EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs , 2020, AAAI.
[10] Jian Pei,et al. A Survey on Network Embedding , 2017, IEEE Transactions on Knowledge and Data Engineering.
[11] Jiawei Han,et al. Embedding Learning with Events in Heterogeneous Information Networks , 2017, IEEE Transactions on Knowledge and Data Engineering.
[12] Qianqian Wang,et al. Multi-View Attribute Graph Convolution Networks for Clustering , 2020, IJCAI.
[13] Xiao Wang,et al. One2Multi Graph Autoencoder for Multi-view Graph Clustering , 2020, WWW.
[14] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[15] Jia Wu,et al. CogBoost: Boosting for Fast Cost-Sensitive Graph Classification , 2015, IEEE Transactions on Knowledge and Data Engineering.
[16] Feiping Nie,et al. Clustering and projected clustering with adaptive neighbors , 2014, KDD.
[17] Huan Liu,et al. Leveraging social media networks for classification , 2011, Data Mining and Knowledge Discovery.
[18] Chengqi Zhang,et al. Network Representation Learning: A Survey , 2017, IEEE Transactions on Big Data.
[19] Pierre Vandergheynst,et al. Wavelets on Graphs via Spectral Graph Theory , 2009, ArXiv.
[20] Lina Yao,et al. Adversarially Regularized Graph Autoencoder , 2018, IJCAI.
[21] Jian Li,et al. Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec , 2017, WSDM.
[22] Chun Wang,et al. MGAE: Marginalized Graph Autoencoder for Graph Clustering , 2017, CIKM.
[23] Pascal Frossard,et al. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains , 2012, IEEE Signal Processing Magazine.
[24] Dianhui Wang,et al. Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing , 2021, IEEE Transactions on Cybernetics.
[25] Mingzhe Wang,et al. LINE: Large-scale Information Network Embedding , 2015, WWW.
[26] Bin Wu,et al. Link Prediction in Schema-Rich Heterogeneous Information Network , 2016, PAKDD.
[27] Huan Liu,et al. Attributed Network Embedding for Learning in a Dynamic Environment , 2017, CIKM.
[28] Jing Jiang,et al. Attributed Graph Clustering: A Deep Attentional Embedding Approach , 2019, IJCAI.
[29] Jiong-Sheng Li,et al. Note on the normalized Laplacian eigenvalues of signed graphs , 2009, Australas. J Comb..
[30] Philip S. Yu,et al. Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification , 2016, IEEE Transactions on Knowledge and Data Engineering.
[31] Xiangnan He,et al. Attributed Social Network Embedding , 2017, IEEE Transactions on Knowledge and Data Engineering.
[32] Stepán Obdrzálek,et al. Object Recognition using Local Affine Frames on Distinguished Regions , 2002, BMVC.
[33] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[34] Daniel R. Figueiredo,et al. struc2vec: Learning Node Representations from Structural Identity , 2017, KDD.
[35] Qiongkai Xu,et al. GraRep: Learning Graph Representations with Global Structural Information , 2015, CIKM.
[36] Xiao Huang,et al. Label Informed Attributed Network Embedding , 2017, WSDM.
[37] Jure Leskovec,et al. node2vec: Scalable Feature Learning for Networks , 2016, KDD.
[38] Palash Goyal,et al. Graph Embedding Techniques, Applications, and Performance: A Survey , 2017, Knowl. Based Syst..