GNN-QE
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Official implementation of Graph Neural Network Query Executor (ICML 2022)
when i try rm -r ~/.cache/torch_extensions/* and run the code again in google colab, the code is still stuck. Could you help me solve this problem?
Nice work! One question, I want to run this model on my own dataset, but the query logic of my downstream tasks mainly focus on is 1p, 2p, 3p, 4p,...
When running the visualize script, the system does not seem to be loading the model correctly `python script/visualize.py -c config/fb15k237_visualize.yaml --checkpoint path/to/epoch/model_epoch_10.pth` This is what it returns: ``` RuntimeError: Error(s)...
Hi there. I have tried running this code on one of my machine with two RTX3090 GPUs (GPU memory 24GB for each) python -m torch.distributed.launch --nproc_per_node=2 script/run.py -c config/fb15k237.yaml --gpus...
Hi! This work is excellent so I want to reproduce the codes as soon as possible. However, when I try to reproduce the codes, I find there are some bugs...