Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks

Shuai Zhang 0015, Meng Wang 0003, Pin-Yu Chen, Sijia Liu 0001, Songtao Lu, Miao Liu. Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023. OpenReview.net, 2023. [doi]

@inproceedings{00150C0LL23,
  title = {Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks},
  author = {Shuai Zhang 0015 and Meng Wang 0003 and Pin-Yu Chen and Sijia Liu 0001 and Songtao Lu and Miao Liu},
  year = {2023},
  url = {https://openreview.net/pdf?id=4UldFtZ_CVF},
  researchr = {https://researchr.org/publication/00150C0LL23},
  cites = {0},
  citedby = {0},
  booktitle = {The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023},
  publisher = {OpenReview.net},
}