Kyle K. Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, and Danai Koutra.
In The 29th ACM International Conference on Information and Knowledge Management, 2020.
- numpy
- pandas
- networkx 2.3
- tensorflow 1.13.1 with keras-applications and keras-preprocessing
It is flexible for the propopsed framework to apply a different compression method or node embedding method for network alignment. Two compression (MERGE, Shrink) and embedding learning methods (GCN, REGAL) are used in the code.
Kyle K. Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, and Danai Koutra. 2020. G-CREWE: Graph CompREssion With Embedding for Network Alignment. In The 29th ACM International Conference on Information and Knowledge Management, October 19-23, 2020, Galway, Ireland.