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snhe's Introduction

SNHE

This repo is for source code of paper "Self-supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning". This code is referenced from https://raw.githubusercontent.com/liun-online/HeCo, thanks to the author's contribution.

Environment Settings

python==3.8.5
scipy==1.6.2
torch==1.12.0
torch-geometric==2.2.0
PyGCL==0.1.1
numpy==1.19.2
scikit_learn==1.0
GPU: GeForce RTX 3090

Dataset

The data obtained from link is approximate.

Usage

Fisrt, go into ./code, you can use the following commend to generate pre-training files

python pretrain.py

and then you can use the following commend to run our model:

python main.py acm --gpu=0

Here, "acm" can be replaced by "dblp", "aminer" or "imdb".

Contcat

This code has not been thoroughly verified and is only for learning and communication purposes. Please feel free to raise any questions or suggest better solutions by contacting [email protected].

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