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@ -11,7 +11,7 @@ In many real-world scenarios, a network often comes with node attributes such as
## Methods ## Methods
ANE methods: ANE methods:
[ABRW](https://github.com/houchengbin/ABRW), **ABRW (our method)**,
[ASNE](https://github.com/lizi-git/ASNE), [ASNE](https://github.com/lizi-git/ASNE),
[AANE](https://github.com/xhuang31/AANE_Python), [AANE](https://github.com/xhuang31/AANE_Python),
[SAGE-Mean](https://github.com/williamleif/GraphSAGE), [SAGE-Mean](https://github.com/williamleif/GraphSAGE),
@ -27,7 +27,7 @@ PNE methods:
[others](https://github.com/thunlp/OpenNE) [others](https://github.com/thunlp/OpenNE)
<br> All methods in this framework are **unsupervised**, and so do not require any label during embedding phase. <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://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. 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.
``` ```
@article{hou2020RoSANE, @article{hou2020RoSANE,
title={RoSANE: Robust and Scalable Attributed Network Embedding for Sparse Networks}, title={RoSANE: Robust and Scalable Attributed Network Embedding for Sparse Networks},