Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs

Qimai Li, Xiaotong Zhang 0003, Han Liu 0008, Quanyu Dai, Xiao-Ming Wu. Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs. In Feida Zhu 0002, Beng Chin Ooi, Chunyan Miao, editors, KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021. pages 953-963, ACM, 2021. [doi]

@inproceedings{LI00DW21,
  title = {Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs},
  author = {Qimai Li and Xiaotong Zhang 0003 and Han Liu 0008 and Quanyu Dai and Xiao-Ming Wu},
  year = {2021},
  doi = {10.1145/3447548.3467413},
  url = {https://doi.org/10.1145/3447548.3467413},
  researchr = {https://researchr.org/publication/LI00DW21},
  cites = {0},
  citedby = {0},
  pages = {953-963},
  booktitle = {KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021},
  editor = {Feida Zhu 0002 and Beng Chin Ooi and Chunyan Miao},
  publisher = {ACM},
  isbn = {978-1-4503-8332-5},
}