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README.md
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README.md
@ -27,13 +27,14 @@ PNE methods:
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[others](https://github.com/thunlp/OpenNE)
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<br> All methods in this framework are **unsupervised**, and so do not require any label during embedding phase.
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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.
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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.
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```
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@article{hou2019abrw,
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title={Attributed Network Embedding for Incomplete Attributed Networks},
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@article{hou2020RoSANE,
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title={RoSANE: Robust and Scalable Attributed Network Embedding for Sparse Networks},
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author={Hou, Chengbin and He, Shan and Tang, Ke},
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journal={arXiv preprint arXiv:1811.11728v2},
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year={2019}
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journal={Neurocomputing},
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year={2020},
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publisher={Elsevier}
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}
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```
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