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RHGN

Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for User Profiling

Dependencies

torch==1.6.0
torchvision==0.7.0
dgl==0.7.1
scikit-learn==0.23.2
numpy==1.19.1
scipy ==1.5.2
pandas==1.1.2

Note: The code require your gpu memory not less than 20 GB.

Dataset

Raw data and more details in JD-Dataset and Alibaba-dataset

Usage

1、Download processed data:

Processed data download link: Dataset

python tb_tmain.py --data_dir ../taobao_data/ --model RHGN --label gender --graph G_ori --gpu 3  # Alibaba-Dataset

python jd_tmain.py --data_dir ../data/ --model RHGN --graph G_ori  --label age --gpu 2  # JD-Dataset

2、Process raw data

python tbdata_process.py    #Alibaba-Dataset

python jddata_process.py     #JD-Dataset

More command can refer run.sh and baseline.sh

Contact

[email protected]

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