Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Haitao Mao, Zhikai Chen, Wei Jin 0009, Haoyu Han, Yao Ma 0001, Tong Zhao, Neil Shah, Jiliang Tang. Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{MaoC0H0ZST23,
  title = {Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?},
  author = {Haitao Mao and Zhikai Chen and Wei Jin 0009 and Haoyu Han and Yao Ma 0001 and Tong Zhao and Neil Shah and Jiliang Tang},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/74f1edadbdf495e7258ee8db7b1d3acd-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/MaoC0H0ZST23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}