ANE: Network Embedding via Adversarial Autoencoders
暂无分享,去创建一个
Ding Xiao | Yang Xiao | Chuan Shi | Binbin Hu | C. Shi | Yanghua Xiao | Ding Xiao | Binbin Hu | Yang Xiao
[1] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[2] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[3] Yoshua Bengio,et al. Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.
[4] David Liben-Nowell,et al. The link-prediction problem for social networks , 2007 .
[5] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[6] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[7] Graham Cormode,et al. Node Classification in Social Networks , 2011, Social Network Data Analytics.
[8] Feiping Nie,et al. Cauchy Graph Embedding , 2011, ICML.
[9] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[10] Galina Paskaleva,et al. Non-Linear Dimensionality Reduction With Isomaps , 2012 .
[11] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[12] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[13] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[14] Yizhou Sun,et al. Personalized entity recommendation: a heterogeneous information network approach , 2014, WSDM.
[15] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[16] Pinar Yanardag,et al. Deep Graph Kernels , 2015, KDD.
[17] Mingzhe Wang,et al. LINE: Large-scale Information Network Embedding , 2015, WWW.
[18] Rob Fergus,et al. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks , 2015, NIPS.
[19] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[20] Navdeep Jaitly,et al. Adversarial Autoencoders , 2015, ArXiv.
[21] Charu C. Aggarwal,et al. Heterogeneous Network Embedding via Deep Architectures , 2015, KDD.
[22] Wei Lu,et al. Deep Neural Networks for Learning Graph Representations , 2016, AAAI.
[23] Jure Leskovec,et al. node2vec: Scalable Feature Learning for Networks , 2016, KDD.
[24] Mathias Niepert,et al. Learning Convolutional Neural Networks for Graphs , 2016, ICML.
[25] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[26] Bo Zhang,et al. Discriminative Deep Random Walk for Network Classification , 2016, ACL.