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We consider matrix completion for recommender systems from the point of view of link prediction on graphs.
Using collaborative filtering to weave an information tapestry
David Goldberg, David Nichols, Brian M. Oki, and Douglas Terry · 1992
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Content-based recommendation systems
Michael J Pazzani and Daniel Billsus · 2007
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Restricted boltzmann machines for collaborative filtering
Ruslan Salakhutdinov, Andriy Mnih, and Geoffrey Hinton · 2007
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Probabilistic matrix factorization
Andriy Mnih and Ruslan R. Salakhutdinov · 2008
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Matrix factorization techniques for recommender systems
Yehuda Koren, Robert Bell, and Chris Volinsky · 2009
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Exact matrix completion via convex optimization
Emmanuel Candes and Benjamin Recht · 2012
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Spectral networks and locally connected networks on graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2013
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Provable inductive matrix completion
Prateek Jain and Inderjit S Dhillon · 2013
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Local low-rank matrix approximation
Joonseok Lee, Seungyeon Kim, Guy Lebanon, and Yoram Singer · 2013
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Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach
Xin Li and Hsinchun Chen · 2013
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Speedup matrix completion with side information: Application to multi-label learning
Miao Xu, Rong Jin, and Zhi-Hua Zhou · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Vassilis Kalofolias, Xavier Bresson, Michael Bronstein, and Pierre Vandergheynst · 2014
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Diederik Kingma and Jimmy Ba · 2014
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Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Learning deep representations for graph clustering
Fei Tian, Bin Gao, Qing Cui, Enhong Chen, and Tie-Yan Liu · 2014
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Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
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Variational graph auto-encoders
Thomas N. Kipf and Max Welling · 2016
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Gated graph sequence neural networks
Yujia Li, Daniel Tarlow, Marc Brockschmidt, and Richard Zemel · 2016
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Learning convolutional neural networks for graphs
Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov · 2016
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Hybrid recommender system based on autoencoders
Florian Strub, Romaric Gaudel, and Jérémie Mary · 2016
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A neural autoregressive approach to collaborative filtering
Yin Zheng, Bangsheng Tang, Wenkui Ding, and Hanning Zhou · 2016
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Inductive representation learning on large graphs
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