Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification

Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura. Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification. In Michael B. Matthews, editor, 54th Asilomar Conference on Signals, Systems, and Computers, ACSCC 2020, Pacific Grove, CA, USA, November 1-4, 2020. pages 746-750, IEEE, 2020. [doi]

@inproceedings{JiangSCWM20,
  title = {Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification},
  author = {Lavender Yao Jiang and John Shi and Mark Cheung and Oren Wright and José M. F. Moura},
  year = {2020},
  doi = {10.1109/IEEECONF51394.2020.9443451},
  url = {https://doi.org/10.1109/IEEECONF51394.2020.9443451},
  researchr = {https://researchr.org/publication/JiangSCWM20},
  cites = {0},
  citedby = {0},
  pages = {746-750},
  booktitle = {54th Asilomar Conference on Signals, Systems, and Computers, ACSCC 2020, Pacific Grove, CA, USA, November 1-4, 2020},
  editor = {Michael B. Matthews},
  publisher = {IEEE},
  isbn = {978-0-7381-3126-9},
}