HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding

This is the official implementation of the paper - HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding.

Citation

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@inproceedings{NEURIPS2022_cd004fa4,
 title = {HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding},
 author = {Xu, Yi.shi and Wang, Dongsheng and Chen, Bo and Lu, Ruiying and Duan, Zhibin and Zhou, Mingyuan},
 url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/cd004fa45fc1fe5c0218b7801d98d036-Paper-Conference.pdf},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
 pages = {31557--31570},
 publisher = {Curran Associates, Inc.},
 volume = {35},
 year = {2022}
}