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Textual network embeddings aim to learn a low-dimensional representation for every node in the network so that both the structural and textual information from the networks can be well preserved in the representations.
The meaning and use of the area under a receiver operating characteristic (roc) curve
James A Hanley and Barbara J McNeil. 1982 · 1982
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Automating the construction of internet portals with machine learning
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Graphs over time: densification laws, shrinking diameters and possible explanations
Jure Leskovec, Jon Kleinberg, and Christos Faloutsos. 2005 · 2005
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Liblinear: A library for large linear classification
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin. 2008 · 2008
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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A convolutional neural network for modelling sentences
Phil Blunsom, Edward Grefenstette, and Nal Kalchbrenner. 2014 · 2014
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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Deepwalk: Online learning of social representations
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena. 2014 · 2014
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Line: Large-scale information network embedding
Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, and Qiaozhu Mei. 2015 · 2015
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Network representation learning with rich text information
Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, and Edward Y Chang. 2015 · 2015
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node2vec: Scalable feature learning for networks
Language modeling with gated convolutional networks
Yann N Dauphin, Angela Fan, Michael Auli, and David Grangier. 2017 · 2017
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Cane: Context-aware network embedding for relation modeling
Cunchao Tu, Han Liu, Zhiyuan Liu, and Maosong Sun. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Selective encoding for abstractive sentence summarization
Qingyu Zhou, Nan Yang, Furu Wei, and Ming Zhou. 2017 · 2017
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Sac2vec: Information network representation with structure and content
S. Bandyopadhyay, H. Kara, Anirban Biswas, and M. N. Murty. 2018 · 2018
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Aditya Grover and Jure Leskovec. 2016 · 2016
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A general framework for content-enhanced network representation learning
Xiaofei Sun, Jiang Guo, Xiao Ding, and Ting Liu. 2016 · 2016
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a
Cited in the paper.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013b
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Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, and Lawrence Carin. 2018a
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Improved semantic-aware network embedding with fine-grained word alignment
Dinghan Shen, Xinyuan Zhang, Ricardo Henao, and Lawrence Carin. 2018b · 2018
Later among the works it cites.