Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks

Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup. Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. In Hocine Cherifi, Luis M. Rocha, Chantal Cherifi, Murat Donduran, editors, Complex Networks & Their Applications XII - Proceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Menton, France, 28-30 November, 2023, Volume 1. Volume 1141 of Studies in Computational Intelligence, pages 49-60, Springer, 2023. [doi]

@inproceedings{LuanZCP23,
  title = {Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks},
  author = {Sitao Luan and Mingde Zhao and Xiao-Wen Chang and Doina Precup},
  year = {2023},
  doi = {10.1007/978-3-031-53468-3_5},
  url = {https://doi.org/10.1007/978-3-031-53468-3_5},
  researchr = {https://researchr.org/publication/LuanZCP23},
  cites = {0},
  citedby = {0},
  pages = {49-60},
  booktitle = {Complex Networks & Their Applications XII - Proceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Menton, France, 28-30 November, 2023, Volume 1},
  editor = {Hocine Cherifi and Luis M. Rocha and Chantal Cherifi and Murat Donduran},
  volume = {1141},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-031-53468-3},
}