%0 Conference Paper %1 conf/icbk/GeH22 %A Ge, Yuhang %A Hu, Xuegang %B ICKG %D 2022 %E Li, Peipei %E Yu, Kui %E Chawla, Nitesh V. %E Feldman, Ronen %E Li, Qing %E Wu, Xindong %I IEEE %K dblp %P 64-70 %T Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization. %U http://dblp.uni-trier.de/db/conf/icbk/ickg2022.html#GeH22 %@ 978-1-6654-5101-7

@inproceedings{conf/icbk/GeH22, added-at = {2023-02-17T00:00:00.000+0100}, author = {Ge, Yuhang and Hu, Xuegang}, biburl = {https://www.bibsonomy.org/bibtex/2988aef5f18beafc5f7d61b651e7046ba/dblp}, booktitle = {ICKG}, crossref = {conf/icbk/2022}, editor = {Li, Peipei and Yu, Kui and Chawla, Nitesh V. and Feldman, Ronen and Li, Qing and Wu, Xindong}, ee = {https://doi.org/10.1109/ICKG55886.2022.00016}, interhash = {4f79b1978e944fde99f29c6787fd584f}, intrahash = {988aef5f18beafc5f7d61b651e7046ba}, isbn = {978-1-6654-5101-7}, keywords = {dblp}, pages = {64-70}, publisher = {IEEE}, timestamp = {2024-04-10T00:13:59.000+0200}, title = {Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization.}, url = {http://dblp.uni-trier.de/db/conf/icbk/ickg2022.html#GeH22}, year = 2022 }