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(tensorflow)-ABNE-An-Attention-Based-Network-Embedding-for-User-Alignment-Across-Social-Networks

For wider application, we have updated the python version,use tensorflow1.14.0

ABNE-An-Attention-Based-Network-Embedding-for-User-Alignment-Across-Social-Networks(IEEE 2019) paper author uses Java(https://github.com/ColaLL/IONE)

Source Code and anonymous twitter_foursquare data for IEEE 2019 paper "ABNE-An-Attention-Based-Network-Embedding-for-User-Alignment-Across-Social-Networks (Liu Li [email protected]) when you have any problems about the paper or the code(Java 8).

Feel free to contact me (Zihan Yan [email protected]) when you have any problems about the code(Python tensorflow1.14.0)

#1./For the ABNE, run the main.py.

#2./Second, run Attention.py to get attention.

#3./then, run acc.py to get accuracy.

If you want to use another social network, pls modify the parameter size of the network,Here is twitter(5120),foursquare(5313). Experimental comparison:(We have done a number of experiments and take the average value such as train ratio10%, p@1-p@30)

time in other experiments:
java: 56min tensorflow-gpu(1.14.0): 27min

Accuracy in other experiments:+0.004 ~ +0.012

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