Comments (3)
Please give more details about how you run the code. For example, the snapshot of your commands and results?
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The command I use is
"main.py -d WIKI --gpu=2 --train-history-len 3 --test-history-len 3 --dilate-len 1 --lr 0.001 --n-layers 2 --evaluate-every 1 --n-hidden 200 --self-loop --decoder convtranse --encoder uvrgcn --layer-norm --weight 0.5 --entity-prediction --relation-prediction --angle 10 --discount 1 --task-weight 0.7 --gpu 0 "
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First, the results in the paper are under the raw setting. We also print the results under the filtered setting for convenience. But, you do not compare the results between different settings. Second, the parameters used in your command are not optimal. Please see Section 5.1.4 (Implementation Details) to get the optimal parameter for WIKI.
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Related Issues (19)
- Ask for codes HOT 1
- Adaptation to a "different" static graph HOT 3
- OSError: libcublas.so.10: cannot open shared object file: No such file or directory HOT 1
- OSError: [Errno 22] Invalid argument: '../models/ICEWS14s-uvrgcn-convtranse-ly2-dilate1-his3-weight:0.5-discount:1.0-angle:10-dp0.2|0.2|0.2|0.2-gpu0'
- Confusion about the experiment HOT 1
- cuda out of memory HOT 1
- command line for running on YAGO and wiki HOT 1
- 你好,请问以下下面的错误怎么解决? HOT 1
- 关于论文中报告的数据集信息和代码公开的数据集统计信息不一致 HOT 1
- what are raw, filter, and RE-GCN w. GT
- Filtered Result HOT 1
- Confusion about the experimental setup HOT 8
- Confusion about dataset and experiment HOT 3
- Confusion about baseline HOT 1
- Filtered results request HOT 1
- confusion about dataset HOT 2
- confusion about parameter(skip_connect) HOT 1
- Confusion about YAGO and WIKI HOT 2
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