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INK-USC / RE-Net

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)
http://inklab.usc.edu/renet/
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the time for training #38

Closed Yongquan-He closed 3 years ago

Yongquan-He commented 3 years ago

hello! I am interested in your excellent work! But when I run your code, I notice that the training process is time consuming. So I want to know how much time per epoch need in each data set! Thanks!

fangyiming commented 3 years ago

hello! I am interested in your excellent work! But when I run your code, I notice that the training process is time consuming. So I want to know how much time per epoch need in each data set! Thanks! HELLO,I'm checking too.Can you run his code? Or could you please send your code to me? Thank you, my email is1043630181@qq.com

woojeongjin commented 3 years ago

Hello!

1 epoch takes about 1500 seconds = 25 mins on ICEWS18. Bigger datasets will take more time!

Thanks for your interest!

fangyiming commented 3 years ago

Thank you very much for your reply. I have been studying the temporal knowledge map recently and read your paper. I am very interested. But when I want to run the code, I encounter many problems. It is my configuration problem. If you can send me the complete code, I would like to thank you very much.

---Original--- From: "Woojeong Jin"<notifications@github.com> Date: Wed, Dec 16, 2020 08:13 AM To: "INK-USC/RE-Net"<RE-Net@noreply.github.com>; Cc: "Comment"<comment@noreply.github.com>;"c#"<1043630181@qq.com>; Subject: Re: [INK-USC/RE-Net] the time for training (#38)

Hello!

1 epoch takes about 1500 seconds = 25 mins on ICEWS18. Bigger datasets will take more time!

Thanks for your interest!

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woojeongjin commented 3 years ago

Hi @fangyiming The repo includes the complete code. I have updated the instruction for installation. If the instruction doesn't work, could you open a new issue and describe your error messages?