Alternatives and similar repositories for matgraph

Users that are interested in matgraph are comparing it to the libraries listed below

• quanmingyao / FaNCL
  Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code
  ☆22Updated 6 years ago
• andrewssobral / imtsl
  IMTSL - Incremental and Multi-feature Tensor Subspace Learning
  ☆37Updated 4 years ago
• Hua-Zhou / SparseReg
  Matlab toolbox for sparse regression
  ☆30Updated 3 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• ryotat / dal
  Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning
  ☆34Updated 10 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 10 years ago
• Hua-Zhou / TensorReg
  Matlab toolbox for tensor regressions
  ☆30Updated 3 years ago
• bodono / apg
  A lightweight accelerated proximal-gradient package for matlab
  ☆34Updated 9 years ago
• Craigacp / MIToolbox
  Mutual Information functions for C and MATLAB
  ☆143Updated 7 years ago
• sjtrny / SubKit
  Subspace Clustering Library
  ☆52Updated 9 years ago
• ipsorakis / commDetNMF
  Code for paper: Overlapping Community Detection via Nonnegative Matrix Factorization
  ☆11Updated 11 years ago
• gnaixgnaw / CSP
  Spectral Clustering for Complex Graphs
  ☆39Updated 11 years ago
• csliangdu / FSASL
  An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…
  ☆43Updated 8 years ago
• dgleich / gaimc
  Graph Algorithms in Matlab Code
  ☆44Updated 4 years ago
• STAC-USC / Graph_Learning
  Graph Learning from Data
  ☆36Updated 5 years ago
• kimjingu / nonnegfac-matlab
  Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations
  ☆58Updated 11 years ago
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆19Updated 6 years ago
• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆31Updated 7 years ago
• Caselles / graph_kernels
  Four of the main kernels on graphs Python implementation.
  ☆16Updated 8 years ago
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆63Updated 9 years ago
• hiroyuki-kasai / SparseGDLibrary
  MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
  ☆55Updated 6 years ago
• ivanbrugere / matlab-networks-toolbox
  A set of graph/networks analysis functions in Octave. This fork focuses on MATLAB compatibility.
  ☆47Updated 11 years ago
• andrewssobral / mtt
  MATLAB Tensor Tools
  ☆89Updated 4 years ago
• steven2358 / kmbox
  Kernel Methods Toolbox for Matlab/Octave
  ☆52Updated 6 years ago
• epfl-lts2 / gspbox
  Graph Signal Processing in Matlab
  ☆142Updated 5 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆134Updated 4 years ago
• lawrennd / vargplvm
  Variational Bayesian GP-LVM model in MATLAB.
  ☆12Updated 10 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• praneethmurthy / low-rank-phase-retrieval
  MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019, longer version to appear in IEEE Transact…
  ☆15Updated 5 years ago
• JHUVisionLab / SSC-using-ADMM
  Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…
  ☆44Updated 8 years ago