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Networks have been widely used as the data structure for abstracting real-world systems as well as organizing the relations among entities.
Algorithms for non-negative matrix factorization
Daniel D Lee and H Sebastian Seung · 2001
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Document clustering based on non-negative matrix factorization
Wei Xu, Xin Liu, and Yihong Gong · 2003
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Multi-prototype vector-space models of word meaning
Joseph Reisinger and Raymond J Mooney · 2010
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Visual social network analytics for relationship discovery in the enterprise
Adam Perer, Ido Guy, Erel Uziel, Inbal Ronen, and Michal Jacovi · 2011
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Improving word representations via global context and multiple word prototypes
Eric H Huang, Richard Socher, Christopher D Manning, and Andrew Y Ng · 2012
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Symmetric nonnegative matrix factorization for graph clustering
Da Kuang, Chris Ding, and Haesun Park · 2012
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Efficient non-parametric estimation of multiple embeddings per word in vector space
Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, and Andrew McCallum · 2014
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Deepwalk: Online learning of social representations
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena · 2014
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Topical word embeddings
Yang Liu, Zhiyuan Liu, Tat-Seng Chua, and Maosong Sun · 2015
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Pte: Predictive text embedding through large-scale heterogeneous text networks
Jian Tang, Meng Qu, and Qiaozhu Mei · 2015
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Line: Large-scale information network embedding
Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, and Qiaozhu Mei · 2015
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node2vec: Scalable feature learning for networks
Aditya Grover and Jure Leskovec · 2016
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Fast matrix factorization for online recommendation with implicit feedback
Xiangnan He, Hanwang Zhang, Min-Yen Kan, and Tat-Seng Chua · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
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Asymmetric transitivity preserving graph embedding
Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, and Wenwu Zhu · 2016
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Structural deep network embedding
Daixin Wang, Peng Cui, and Wenwu Zhu · 2016
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Real-time personalization using embeddings for search ranking at airbnb
Mihajlo Grbovic and Haibin Cheng · 2018
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Exploring expert cognition for attributed network embedding
Xiao Huang, Qingquan Song, Jundong Li, and Xia Hu · 2018
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Attributed social network embedding
Lizi Liao, Xiangnan He, Hanwang Zhang, and Tat-Seng Chua · 2018
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On interpretation of network embedding via taxonomy induction
Ninghao Liu, Xiao Huang, Jundong Li, and Xia Hu · 2018
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Hierarchical taxonomy aware network embedding
Jianxin Ma, Peng Cui, Xiao Wang, and Wenwu Zhu · 2018
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Network embedding as matrix factorization: Unifying deepwalk, line, pte, and node2vec
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, and Jie Tang · 2018
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Peng Cui, Xiao Wang, Jian Pei, and Wenwu Zhu · 2017
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Inductive representation learning on large graphs
Will Hamilton, Zhitao Ying, and Jure Leskovec · 2017
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Representation learning on graphs: Methods and applications
William L Hamilton, Rex Ying, and Jure Leskovec · 2017
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beta-vae: Learning basic visual concepts with a constrained variational framework
Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner · 2017
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Label informed attributed network embedding
Xiao Huang, Jundong Li, and Xia Hu · 2017
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Attributed network embedding for learning in a dynamic environment
Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, and Huan Liu · 2017
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Community preserving network embedding
Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, and Shiqiang Yang · 2017
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Easing embedding learning by comprehensive transcription of heterogeneous information networks
Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, and Jiawei Han · 2018
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Multi-type itemset embedding for learning behavior success
Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, and Nitesh V Chawla · 2018
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Deep structure learning for fraud detection
Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, and Jilong Wang · 2018
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Multi-facet network embedding: Beyond the general solution of detection and representation
Liang Yang, Yuanfang Guo, and Xiaochun Cao · 2018
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Graph convolutional neural networks for web-scale recommender systems
Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L Hamilton, and Jure Leskovec · 2018
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Taxogen: Unsupervised topic taxonomy construction by adaptive term embedding and clustering
Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian Sadler, Michelle Vanni, and Jiawei Han · 2018
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Dynamic network embedding by modeling triadic closure process
Lekui Zhou, Yang Yang, Xiang Ren, Fei Wu, and Yueting Zhuang · 2018
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