HDE

HDE[ICDM2021]

Paper:Heterogeneous Graph Neural Network with Distance Encoding

How to run

• Clone the Openhgnn-DGL

python main.py -m HDE -d HGBl-IMDB -t link_prediction -g 0 --use_best_config

If you do not have gpu, set -gpu -1.

Performance

Dataset	AUC_ROC
HGBl-IMDB	0.9151
HGBl-ACM	0.8741
HGBl-DBLP	0.9836

TrainerFlow

hde_trainer

model

HDE

Dataset

Supported datasets:

• HGBl-IMDB
• HGBl-ACM
• HGBl-DBLP

Hyper-parameter specific to the model

emb_dim = 128  # dimension of HDE
k_hop = 2  # radius when sampling ego graph for a node
max_dist = 3  # max value of SPD, usually set to k_hop + 1

More

Contributor

Zhiyuan Lu[GAMMA LAB]

If you have any questions,

Submit an issue or email to luzy@bupt.edu.cn