Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs

Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu 0001. Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. In Carlotta Demeniconi, Nitesh V. Chawla, editors, Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020, Cincinnati, Ohio, USA, May 7-9, 2020 [the conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume]. pages 334-342, SIAM, 2020. [doi]

@inproceedings{HeCNW020,
  title = {Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs},
  author = {Yi He and Sheng Chen and Thu Nguyen and Bruce A. Wade and Xindong Wu 0001},
  year = {2020},
  doi = {10.1137/1.9781611976236.38},
  url = {https://doi.org/10.1137/1.9781611976236.38},
  researchr = {https://researchr.org/publication/HeCNW020},
  cites = {0},
  citedby = {0},
  pages = {334-342},
  booktitle = {Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020, Cincinnati, Ohio, USA, May 7-9, 2020 [the conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume]},
  editor = {Carlotta Demeniconi and Nitesh V. Chawla},
  publisher = {SIAM},
  isbn = {978-1-61197-623-6},
}