%0 Journal Article %1 journals/ml/PeiHIP22 %A Pei, Yulong %A Huang, Tianjin %A van Ipenburg, Werner %A Pechenizkiy, Mykola %D 2022 %J Mach. Learn. %K dblp %N 2 %P 519-541 %T ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks. %U http://dblp.uni-trier.de/db/journals/ml/ml111.html#PeiHIP22 %V 111

@article{journals/ml/PeiHIP22, added-at = {2022-10-02T00:00:00.000+0200}, author = {Pei, Yulong and Huang, Tianjin and van Ipenburg, Werner and Pechenizkiy, Mykola}, biburl = {https://www.bibsonomy.org/bibtex/2dc5c5cb65e7f9be48bdf81a4dfd93cbb/dblp}, ee = {https://doi.org/10.1007/s10994-021-06044-0}, interhash = {8716158b4b84f59e080d30ddf8346673}, intrahash = {dc5c5cb65e7f9be48bdf81a4dfd93cbb}, journal = {Mach. Learn.}, keywords = {dblp}, number = 2, pages = {519-541}, timestamp = {2024-04-08T19:26:55.000+0200}, title = {ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks.}, url = {http://dblp.uni-trier.de/db/journals/ml/ml111.html#PeiHIP22}, volume = 111, year = 2022 }