AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network

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code for the paper "Towards Automated Attribute Completion for Heterogeneous Graph Neural Network"

Dataset

We use datasets recently proposed by HGB.ACM can be found in this repo,DBLP and IMDB can be found in HGB

Quick start

The requirements of the running environment is listed in requirements.txt. After installing the packages run:

bash test_result.sh

In test_result.sh ,some commands is given

python3 search_retrain.py --dataset=ACM --gnn-model=simpleHGN --searcher_name nasp --cluster-num 12 --patience_search 8 --patience_retrain 30 --shared_ops --use_dmon --dmon_loss_alpha 0.4 --use_5seeds

How to evaluate

After running AutoAc,five submit files will be generated. You can upload them in this website to get results