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NSHE

Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"

Install / Use

/learn @AndyJZhao/NSHE
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

NSHE

Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding" The paper is publically available at http://shichuan.org/doc/87.pdf


Requirements

Python >=3.5 Pytorch >= 1.0

Others

Please note that,

  • The sampling process in each epoch is extremely time consuming, the sampled results are saved as temp files for different seeds to skip sampling and load the temp files instead.
  • We repeated the experiments with 10 different seeds and reported the mean result.

BibTex

If you find our work useful, please cite our paper:

@inproceedings{ijcai2020-190, title = {Network Schema Preserving Heterogeneous Information Network Embedding}, author = {Zhao, Jianan and Wang, Xiao and Shi, Chuan and Liu, Zekuan and Ye, Yanfang}, booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}}, publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Christian Bessiere} pages = {1366--1372}, year = {2020}, month = {7}, note = {Main track} doi = {10.24963/ijcai.2020/190}, url = {https://doi.org/10.24963/ijcai.2020/190}, }

Related Skills

View on GitHub
GitHub Stars25
CategoryDevelopment
Updated1y ago
Forks3

Languages

Python

Security Score

60/100

Audited on Sep 19, 2024

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