CSI_GED: An efficient approach for graph edit similarity computation

Karam Gouda, Mosab Hassaan. CSI_GED: An efficient approach for graph edit similarity computation. In 32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May 16-20, 2016. pages 265-276, IEEE Computer Society, 2016. [doi]

@inproceedings{GoudaH16,
  title = {CSI_GED: An efficient approach for graph edit similarity computation},
  author = {Karam Gouda and Mosab Hassaan},
  year = {2016},
  doi = {10.1109/ICDE.2016.7498246},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2016.7498246},
  researchr = {https://researchr.org/publication/GoudaH16},
  cites = {0},
  citedby = {0},
  pages = {265-276},
  booktitle = {32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May 16-20, 2016},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5090-2020-1},
}