Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition

This repository contains the code for NONFAT paper.

If you find this useful, or if you use it in your work, please cite:


@misc{https://doi.org/10.48550/arxiv.2207.02446,
  doi = {10.48550/ARXIV.2207.02446},
  
  url = {https://arxiv.org/abs/2207.02446},
  
  author = {Wang, Zheng and Zhe, Shandian},
  
  keywords = {Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
  
  title = {Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition},
  
  publisher = {arXiv},
  
  year = {2022},
  
  copyright = {arXiv.org perpetual, non-exclusive license}
}

Requirements

Python >= 3.6.0
Pytorch >= 1.10.1
numpy >= 1.15.4
Matlab >= 2018b

wzhut/NONFAT

Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition

Requirements