From f7f896ad3fd370a23fc32c80c6bf8184b8dfd186 Mon Sep 17 00:00:00 2001 From: Wenjie Du Date: Wed, 28 Feb 2024 22:18:05 +0800 Subject: [PATCH] docs: update README; --- README.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index acfeb56..adee06a 100644 --- a/README.md +++ b/README.md @@ -6,11 +6,12 @@

-The open-resource repository for the paper [**Deep Learning for Multivariate Time Series Imputation: A Survey**](https://arxiv.org/abs/2402.04059). +The open-resource repository for the paper [**Deep Learning for Multivariate Time Series Imputation: A Survey**](https://arxiv.org/abs/2402.04059) +from PyPOTS research. The code and configurations for reproducing the experimental results in the paper are available under the folder `time_series_imputation_survey_code`. -If you find this repository helpful to your work, please kindly star it and cite our survey paper (author list: +If you find this repository helpful to your work, please kindly star it and cite our survey paper (author profile links: [Jun Wang](https://github.com/AugustJW), [Wenjie Du](https://github.com/WenjieDu), [Wei Cao](https://weicao1990.github.io/), [Keli Zhang](https://github.com/kelizhang), [Wenjia Wang](https://www.wenjia-w.com/home), [Yuxuan Liang](https://yuxuanliang.com/), [Qingsong Wen](https://sites.google.com/site/qingsongwen8/)) as follows: @@ -50,8 +51,9 @@ year={2024} ## ❖ Must-Read Papers on Time-Series Imputation -Papers listed here may be not from top publications, some of them even are not deep-learning methods, -but are all interesting papers related to time-series imputation that deserve reading. +The papers listed here may be not from top publications, some of them even are not deep-learning methods, +but are all interesting papers related to time-series imputation that deserve reading to +researchers and practitioners who are interested in this field. ### Year 2023