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Matrix Completion

48 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.

 SOTA for Recommendation Systems on MovieLens 100K (using extra training data)

LINK PREDICTION MATRIX COMPLETION RECOMMENDATION SYSTEMS

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

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

NeurIPS 2017 fmonti/mgcnn

Matrix completion models are among the most common formulations of recommender systems.

#3 best model for Recommendation Systems on MovieLens 100K (using extra training data)

MATRIX COMPLETION RECOMMENDATION SYSTEMS

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.

MATRIX COMPLETION RECOMMENDATION SYSTEMS

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.

DICTIONARY LEARNING MATRIX COMPLETION RECOMMENDATION SYSTEMS

Inductive Matrix Completion Based on Graph Neural Networks

ICLR 2020 muhanzhang/IGMC

Under the extreme setting where not any side information is available other than the matrix to complete, can we still learn an inductive matrix completion model?

MATRIX COMPLETION RECOMMENDATION SYSTEMS TRANSFER LEARNING