TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. ,
Principal component analysis, Wiley Interdisciplinary Reviews: Computational Statistics, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-01259094
, Implicit regularization in deep matrix factorization, 2019.
, Graph convolutional matrix completion, 2017.
Deep matrix factorization with spectral geometric regularization, 2020. ,
Graph regularized nonnegative matrix factorization for data representation, IEEE transactions on pattern analysis and machine intelligence, vol.33, pp.1548-60, 2011. ,
Robust principal component analysis?, J. ACM, vol.58, p.37, 2011. ,
Exact matrix completion via convex optimization, Foundations of Computational mathematics, vol.9, issue.6, p.717, 2009. ,
, Sparse subspace clustering: Algorithm, theory, and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, pp.2765-2781, 2013.
Generating classification weights with gnn denoising autoencoders for few-shot learning, 2019. ,
Co-clustering on manifolds, KDD, 2009. ,
The movielens datasets: History and context, Acm transactions on interactive intelligent systems (tiis), vol.5, p.19, 2016. ,
A matrix factorization technique with trust propagation for recommendation in social networks, Proceedings of the fourth ACM conference on Recommender systems, pp.135-142, 2010. ,
Graphlaplacian pca: Closed-form solution and robustness, CVPR, pp.3492-3498, 2013. ,
Low-rank matrix factorization with multiple hypergraph regularizer, Pattern Recognition, vol.48, pp.1011-1022, 2015. ,
, Matrix completion on graphs, 2014.
Learning the parts of objects by non-negative matrix factorization, Nature, vol.401, pp.788-791, 1999. ,
Fully spectral partial shape matching, Computer Graphics Forum, vol.36, pp.247-258, 2017. ,
Hashing with graphs, ICML, 2011. ,
, Spectral upsampling for efficient shape correspondence, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02307575
Geometric matrix completion with recurrent multi-graph neural networks, Advances in Neural Information Processing Systems, pp.3697-3707, 2017. ,
Functional maps: a flexible representation of maps between shapes, ACM Transactions on Graphics (TOG), vol.31, issue.4, p.30, 2012. ,
Computing and processing correspondences with functional maps, SIGGRAPH ASIA 2016 Courses, p.9, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01664767
Collaborative filtering with graph information: Consistency and scalable methods, Advances in neural information processing systems, pp.2107-2115, 2015. ,
The Laplacian on a Riemannian manifold: an introduction to analysis on manifolds, vol.31, 1997. ,
Robust principal component analysis on graphs, ICCV, pp.2812-2820, 2015. ,
Fast robust pca on graphs, IEEE Journal of Selected Topics in Signal Processing, vol.10, pp.740-756, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01277624
Graph dual regularization non-negative matrix factorization for co-clustering, Pattern Recognition, vol.45, pp.2237-2250, 2012. ,
, Spectral graph theory. Lecture Notes, pp.740-0776, 2009.
Low rank approximation with sparse integration of multiple manifolds for data representation, Applied Intelligence, vol.42, pp.430-446, 2014. ,
Low rank subspace clustering (lrsc), Pattern Recognit. Lett, vol.43, pp.47-61, 2014. ,
Zero-shot recognition via semantic embeddings and knowledge graphs, 2018. ,
Dual graph regularized latent low-rank representation for subspace clustering, IEEE Transactions on Image Processing, vol.24, pp.4918-4933, 2015. ,
Low-rank matrix approximation with manifold regularization, vol.35, pp.1717-1729, 2013. ,