Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization

Yuhang Ge, Xuegang Hu. Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization. In Peipei Li, Kui Yu, Nitesh V. Chawla, Ronen Feldman, Qing Li, Xindong Wu, editors, IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022. pages 64-70, IEEE, 2022. [doi]

@inproceedings{GeH22-0,
  title = {Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization},
  author = {Yuhang Ge and Xuegang Hu},
  year = {2022},
  doi = {10.1109/ICKG55886.2022.00016},
  url = {https://doi.org/10.1109/ICKG55886.2022.00016},
  researchr = {https://researchr.org/publication/GeH22-0},
  cites = {0},
  citedby = {0},
  pages = {64-70},
  booktitle = {IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022},
  editor = {Peipei Li and Kui Yu and Nitesh V. Chawla and Ronen Feldman and Qing Li and Xindong Wu},
  publisher = {IEEE},
  isbn = {978-1-6654-5101-7},
}