%0 Conference Paper %1 conf/aaai/DuanXQ022 %A Duan, Wei %A Xuan, Junyu %A Qiao, Maoying %A Lu, Jie %B AAAI %D 2022 %I AAAI Press %K dblp %P 6550-6558 %T Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. %U http://dblp.uni-trier.de/db/conf/aaai/aaai2022.html#DuanXQ022 %@ 978-1-57735-876-3

@inproceedings{conf/aaai/DuanXQ022, added-at = {2023-10-21T00:00:00.000+0200}, author = {Duan, Wei and Xuan, Junyu and Qiao, Maoying and Lu, Jie}, biburl = {https://www.bibsonomy.org/bibtex/2e8bae3e134c8c7df093ca0d549debedf/dblp}, booktitle = {AAAI}, crossref = {conf/aaai/2022}, ee = {https://www.wikidata.org/entity/Q114923287}, interhash = {a9b045321294a9ba42ad092b24d598e8}, intrahash = {e8bae3e134c8c7df093ca0d549debedf}, isbn = {978-1-57735-876-3}, keywords = {dblp}, pages = {6550-6558}, publisher = {AAAI Press}, timestamp = {2024-04-09T18:12:25.000+0200}, title = {Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples.}, url = {http://dblp.uni-trier.de/db/conf/aaai/aaai2022.html#DuanXQ022}, year = 2022 }