Implementation of the study proposed in the paper Multiple Features Driven Author Name Disambiguation
We have shared all the code related to this research, and those who are interested in using it may refer to the dataset demo we have provided. By processing the relevant data like the demo, the code can be executed successfully.
Citing https://github.com/timxiao317/E2E-Name-Disambiguation.
The datasets used in this study are available from the following websites:
1) Aminer_data: "https://static.aminer.cn/misc/na-data-kdd18.zip"
2) WhoIswho_data: "https://www.aminer.cn/billboard/whoiswho" or "https://github.com/timxiao317/E2E-Name-Disambiguation"
networkx < 2.0
torch < 1.8
python <= 3.7.5
python Feature_idf.py
python Create_Graph.py
python make_walk.py
python train_mi_macro.py @INPROCEEDINGS{9590332,
author={Zhou, Qian and Chen, Wei and Wang, Weiqing and Xu, Jiajie and Zhao, Lei},
booktitle={2021 IEEE International Conference on Web Services (ICWS)},
title={Multiple Features Driven Author Name Disambiguation},
year={2021},
pages={506-515},
doi={10.1109/ICWS53863.2021.00071}}