Weighted Graph Classification by Self-Aligned Graph Convolutional Networks Using Self-Generated Structural Features

Xuefei Zheng, Min Zhang, Jiawei Hu, Weifu Chen, Guocan Feng. Weighted Graph Classification by Self-Aligned Graph Convolutional Networks Using Self-Generated Structural Features. In Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou 0001, Tieniu Tan, Nanning Zheng, Hongbin Zha, editors, Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II. Volume 11257 of Lecture Notes in Computer Science, pages 505-516, Springer, 2018. [doi]

@inproceedings{ZhengZHCF18,
  title = {Weighted Graph Classification by Self-Aligned Graph Convolutional Networks Using Self-Generated Structural Features},
  author = {Xuefei Zheng and Min Zhang and Jiawei Hu and Weifu Chen and Guocan Feng},
  year = {2018},
  doi = {10.1007/978-3-030-03335-4_44},
  url = {https://doi.org/10.1007/978-3-030-03335-4_44},
  researchr = {https://researchr.org/publication/ZhengZHCF18},
  cites = {0},
  citedby = {0},
  pages = {505-516},
  booktitle = {Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II},
  editor = {Jian-Huang Lai and Cheng-Lin Liu and Xilin Chen and Jie Zhou 0001 and Tieniu Tan and Nanning Zheng and Hongbin Zha},
  volume = {11257},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-03335-4},
}