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[1] Deepayan Chakrabarti,et al. Joint Inference of Multiple Label Types in Large Networks , 2014, ICML.
[2] Xianwen Yu,et al. VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational Autoencoders , 2019, IJCAI.
[3] Lina Yao,et al. Adversarial Variational Embedding for Robust Semi-supervised Learning , 2019, KDD.
[4] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[5] Chuhan Wu,et al. Neural Demographic Prediction using Search Query , 2019, WSDM.
[6] Jure Leskovec,et al. {SNAP Datasets}: {Stanford} Large Network Dataset Collection , 2014 .
[7] Lina Yao,et al. Adversarially Regularized Graph Autoencoder , 2018, IJCAI.
[8] Xiao-Ming Wu,et al. Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning , 2018, AAAI.
[9] Zaiqiao Meng,et al. Constrained Co-embedding Model for User Profiling in Question Answering Communities , 2019, CIKM.
[10] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[11] Kevin Chen-Chuan Chang,et al. User profiling in an ego network: co-profiling attributes and relationships , 2014, WWW.
[12] Michael Tschannen,et al. On Mutual Information Maximization for Representation Learning , 2019, ICLR.
[13] Max Welling,et al. Variational Graph Auto-Encoders , 2016, ArXiv.
[14] Matthew D. Hoffman,et al. Variational Autoencoders for Collaborative Filtering , 2018, WWW.
[15] Xinyang Zhang,et al. Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction , 2020, WSDM.
[16] Lin Zhong,et al. Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs , 2017, WWW.
[17] Nitesh V. Chawla,et al. Inferring user demographics and social strategies in mobile social networks , 2014, KDD.
[18] Ryan A. Rossi,et al. The Network Data Repository with Interactive Graph Analytics and Visualization , 2015, AAAI.
[19] Donghui Wang,et al. A content-based recommender system for computer science publications , 2018, Knowl. Based Syst..
[20] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[21] Jan Kautz,et al. NVAE: A Deep Hierarchical Variational Autoencoder , 2020, NeurIPS.
[22] Sebastian Nowozin,et al. Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks , 2017, ICML.
[23] Rui Wang,et al. Towards social user profiling: unified and discriminative influence model for inferring home locations , 2012, KDD.
[24] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[25] Jeff Donahue,et al. Large Scale GAN Training for High Fidelity Natural Image Synthesis , 2018, ICLR.
[26] Yun Fu,et al. Adversarial Graph Embedding for Ensemble Clustering , 2019, IJCAI.
[27] Yongdong Zhang,et al. Semi-supervised User Profiling with Heterogeneous Graph Attention Networks , 2019, IJCAI.
[28] Xiangliang Zhang,et al. Co-Embedding Attributed Networks , 2019, WSDM.
[29] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[30] Gang Hua,et al. CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[31] Krishna P. Gummadi,et al. You are who you know: inferring user profiles in online social networks , 2010, WSDM '10.
[32] Oriol Vinyals,et al. Representation Learning with Contrastive Predictive Coding , 2018, ArXiv.
[33] Zoubin Ghahramani,et al. Learning from labeled and unlabeled data with label propagation , 2002 .
[34] Stanislav Pidhorskyi,et al. Adversarial Latent Autoencoders , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).