From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs

Weijie Liu 0006, Hui Qian 0001, Chao Zhang, Jiahao Xie 0001, Zebang Shen, Nenggan Zheng. From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022. pages 4109-4119, AAAI Press, 2022. [doi]

@inproceedings{00060Z0SZ22,
  title = {From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs},
  author = {Weijie Liu 0006 and Hui Qian 0001 and Chao Zhang and Jiahao Xie 0001 and Zebang Shen and Nenggan Zheng},
  year = {2022},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/20329},
  researchr = {https://researchr.org/publication/00060Z0SZ22},
  cites = {0},
  citedby = {0},
  pages = {4109-4119},
  booktitle = {Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022},
  publisher = {AAAI Press},
  isbn = {978-1-57735-876-3},
}