Update README.md
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@ -11,7 +11,7 @@ In many real-world scenarios, a network often comes with node attributes such as
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## Methods
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ANE methods:
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[ABRW](https://github.com/houchengbin/ABRW),
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**ABRW (our method)**,
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[ASNE](https://github.com/lizi-git/ASNE),
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[AANE](https://github.com/xhuang31/AANE_Python),
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[SAGE-Mean](https://github.com/williamleif/GraphSAGE),
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@ -27,7 +27,7 @@ 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://doi.org/10.1016/j.neucom.2020.05.080) or [preprint via ResearchGate link](https://www.researchgate.net/publication/341826514_RoSANE_Robust_and_Scalable_Attributed_Network_Embedding_for_Sparse_Networks). And if you find ABRW (namely RoSANE in the paper) or this frameworkis 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://doi.org/10.1016/j.neucom.2020.05.080) or [preprint via ResearchGate link](https://www.researchgate.net/publication/341826514_RoSANE_Robust_and_Scalable_Attributed_Network_Embedding_for_Sparse_Networks). And if you find **ABRW (namely RoSANE in the paper)** or this frameworkis useful for your research, please consider citing it.
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```
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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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