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README.md

G-CREWE

G-CREWE: Graph CompREssion With Embedding for Network Alignment

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.

Prerequisites

  • numpy
  • pandas
  • networkx 2.3
  • tensorflow 1.13.1 with keras-applications and keras-preprocessing

Framework

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. Image of Framework

Reference

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.

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