Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Learning Optimal Propagation for Graph Neural Networks


May 06, 2022
Beidi Zhao, Boxin Du, Zhe Xu, Liangyue Li, Hanghang Tong

* 7 pages, 3 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition


Nov 06, 2020
Beidi Zhao, Shuai Li, Yanbo Gao, Chuankun Li, Wanqing Li

* 19 pages, 11 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

IndRNN Based Long-term Temporal Recognition in the Spatial and Frequency Domain


Nov 01, 2020
Beidi Zhao, Shuai Li, Yanbo Gao, Chuankun Li, Wanqing Li, Jianjun Lei

* 18 pages, 11 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email