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ASNE is a tensorflow implementation of Attributed Social Network Embedding framework, which learns representations for social actors by preserving both the structural and attribute proximity.

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Attributed-Social-Network-Embedding [ tensorflow 0.12 ]

Tensorflow implementation of Attributed Social Network Embedding framework (ASNE).

The instruction of commands has been clearly stated in the codes (see the parse_args function).

Example to run the codes [tensorflow 0.12 version]

python SNE_runner.py --data_path path --id_dim 20 --attr_dim 20 --n_neg_samples 10 --epoch 20

Cite

If you use the code, please kindly cite the following paper:

@article{liao2017attributed,
  title={Attributed Social Network Embedding},
  author={Liao, Lizi and He, Xiangnan and Zhang, Hanwang and Chua, Tat-Seng},
  journal={arXiv preprint arXiv:1705.04969},
  year={2017}
}

Contact

liaolizi.llz@gmail.com

Acknowledgement

This research is supported by the National Research Foundation, Singapore under its International Research Centres in Singapore Funding Initiative. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore.

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ASNE is a tensorflow implementation of Attributed Social Network Embedding framework, which learns representations for social actors by preserving both the structural and attribute proximity.

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