%0 Conference Paper %1 conf/ccis/LiuLSG22 %A Liu, Yuxin %A Li, Yawen %A Shao, Yingxia %A Guan, Zeli %B CCIS %D 2022 %I IEEE %K dblp %P 506-510 %T Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property. %U http://dblp.uni-trier.de/db/conf/ccis/ccis2022.html#LiuLSG22 %@ 978-1-6654-7735-2

@inproceedings{conf/ccis/LiuLSG22, added-at = {2023-02-02T00:00:00.000+0100}, author = {Liu, Yuxin and Li, Yawen and Shao, Yingxia and Guan, Zeli}, biburl = {https://www.bibsonomy.org/bibtex/2f804fda108fb2f1c53cbedcda5fd4c2f/dblp}, booktitle = {CCIS}, crossref = {conf/ccis/2022}, ee = {https://doi.org/10.1109/CCIS57298.2022.10016431}, interhash = {2bf88424f0542015ae792d7b45fbdf3e}, intrahash = {f804fda108fb2f1c53cbedcda5fd4c2f}, isbn = {978-1-6654-7735-2}, keywords = {dblp}, pages = {506-510}, publisher = {IEEE}, timestamp = {2024-04-09T21:38:09.000+0200}, title = {Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property.}, url = {http://dblp.uni-trier.de/db/conf/ccis/ccis2022.html#LiuLSG22}, year = 2022 }