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Matrix Completion

40 papers with code · Methodology

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Graph Convolutional Matrix Completion

7 Jun 2017tkipf/gae

We consider matrix completion for recommender systems from the point of view of link prediction on graphs.

COLLABORATIVE FILTERING LINK PREDICTION MATRIX COMPLETION

Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

9 Oct 2014iskandr/fancyimpute

The matrix-completion problem has attracted a lot of attention, largely as a result of the celebrated Netflix competition.

MATRIX COMPLETION

Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset

4 Nov 2015andrewssobral/lrslibrary

In this context, this work aims to initiate a rigorous and comprehensive review of the similar problem formulations in robust subspace learning and tracking based on decomposition into low-rank plus additive matrices for testing and ranking existing algorithms for background/foreground separation.

MATRIX COMPLETION

CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters

22 May 2017SeongokRyu/Graph-neural-networks

The rise of graph-structured data such as social networks, regulatory networks, citation graphs, and functional brain networks, in combination with resounding success of deep learning in various applications, has brought the interest in generalizing deep learning models to non-Euclidean domains.

COMMUNITY DETECTION IMAGE CLASSIFICATION MATRIX COMPLETION NODE CLASSIFICATION

Training Complex Models with Multi-Task Weak Supervision

5 Oct 2018HazyResearch/metal

Snorkel MeTaL: A framework for training models with multi-task weak supervision

MATRIX COMPLETION

Hybrid Recommender System based on Autoencoders

24 Jun 2016fstrub95/Autoencoders_cf

A standard model for Recommender Systems is the Matrix Completion setting: given partially known matrix of ratings given by users (rows) to items (columns), infer the unknown ratings.

COLLABORATIVE FILTERING MATRIX COMPLETION

Generalized Low Rank Models

1 Oct 2014madeleineudell/LowRankModels.jl

Here, we extend the idea of PCA to handle arbitrary data sets consisting of numerical, Boolean, categorical, ordinal, and other data types.

DENOISING MATRIX COMPLETION

Dictionary Learning for Massive Matrix Factorization

3 May 2016arthurmensch/modl

Sparse matrix factorization is a popular tool to obtain interpretable data decompositions, which are also effective to perform data completion or denoising.

COLLABORATIVE FILTERING DICTIONARY LEARNING MATRIX COMPLETION

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

27 May 2019jennyzhang0215/STAR-GCN

We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-GCN) architecture to learn node representations for boosting the performance in recommender systems, especially in the cold start scenario.

LINK PREDICTION MATRIX COMPLETION RECOMMENDATION SYSTEMS