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ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

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When i pip install all package for this project, i try to use given"python run.py...",but get "OSError:libtorch_cpu.so:cannot open shared object file : No such file or diectory",i change torchtext version...

First of all thank you very much for sharing your work. We have read your paper carefully and are very interested in your work. But there is a problem that...

Bumps [numpy](https://github.com/numpy/numpy) from 1.16.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

On Windows systems, the name of log file may cause the following errors ``` Traceback (most recent call last): File "D:\Software\Anaconda3\envs\DL_Study\lib\logging\config.py", line 563, in configure handler = self.configure_handler(handlers[name]) File "D:\Software\Anaconda3\envs\DL_Study\lib\logging\config.py",...

Thanks for your amazing work! And I'm also very interested in the graph classification in your work. May I have your code for graph classification task?

Hi, just stated in your more recent work: https://arxiv.org/pdf/1911.03903.pdf, how you break ties when doing evaluation is important. And I wonder what tie handling method do you use in this...

Hi, In appendix A, I saw that you calculated the mrr by each relation category. However, when I am trying to reproduce the number, it's weird that I get the...

Hi, thanks for sharing the code! I find that after randomly breaking the adjacency matrices, the performance of CompGCN remains unchanged (0.334, DistMult+multiplication). The codes in run.py that I have...

Hi, I'm interested in your work, and I am wondering how to use your code for graph classification?

Hi, nice work. How do I get the trained embeddings of entities and relations?