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

Related tags

Deep LearningRHGN
Overview

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

Dataset

Processed data download link: Dataset
Raw data and more details in JD-Dataset and Alibaba-dataset

Usage

For processed data:

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

How to process data

python process.py --data_dir ../taobao_data/    #Alibaba-Dataset

python process.py --data_dir ../data/    #JD-Dataset

More command can refer run.sh and baseline.sh

Contact

[email protected]

Owner
Big Data and Multi-modal Computing Group, CRIPAC
Big Data and Multi-modal Computing Group, Center for Research on Intelligent Perception and Computing
Big Data and Multi-modal Computing Group, CRIPAC
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