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Chengbin 2020-05-28 13:27:06 +08:00
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@ -27,13 +27,14 @@ PNE methods:
[others](https://github.com/thunlp/OpenNE)
<br> All methods in this framework are **unsupervised**, and so do not require any label during embedding phase.
For more details of each method, please have a look at our paper https://arxiv.org/abs/1811.11728v2. And if you find ABRW or this framework is useful for your research, please consider citing it.
For more details of each method, please have a look at our paper https://arxiv.org/abs/1811.11728. And if you find ABRW (namely RoSANE in the paper) or this framework is useful for your research, please consider citing it.
```
@article{hou2019abrw,
title={Attributed Network Embedding for Incomplete Attributed Networks},
@article{hou2020RoSANE,
title={RoSANE: Robust and Scalable Attributed Network Embedding for Sparse Networks},
author={Hou, Chengbin and He, Shan and Tang, Ke},
journal={arXiv preprint arXiv:1811.11728v2},
year={2019}
journal={Neurocomputing},
year={2020},
publisher={Elsevier}
}
```