%0 Conference Paper %1 geppert2021largescale %A Geppert, Heiko %A Bhowmik, Sukanya %A Rothermel, Kurt %B GRADES-NDA '21 : Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) %C New York %D 2021 %E Kalavri, Vasiliki %E Yakovets, Nikolay %I Association for Computing Machinery %K %P 6 %R 10.1145/3461837.3464510 %T Large-scale influence maximization with the influence maximization benchmarker suite %@ 978-1-4503-8477-3

@inproceedings{geppert2021largescale, added-at = {2024-03-08T10:54:36.000+0100}, address = {New York}, author = {Geppert, Heiko and Bhowmik, Sukanya and Rothermel, Kurt}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/24c81deb0df1ee5c1fc11c6429dcf90f7/unibiblio}, booktitle = {GRADES-NDA '21 : Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)}, doi = {10.1145/3461837.3464510}, editor = {Kalavri, Vasiliki and Yakovets, Nikolay}, eventdate = {2021-06-20/2021-06-25}, eventtitle = {SIGMOD/PODS '21 : International Conference on Management of Data}, interhash = {9556116fb598d0bdc65fc74c0b9ff54b}, intrahash = {4c81deb0df1ee5c1fc11c6429dcf90f7}, isbn = {978-1-4503-8477-3}, keywords = {}, language = {eng}, pages = 6, publisher = {Association for Computing Machinery}, timestamp = {2024-03-08T09:54:36.000+0100}, title = {Large-scale influence maximization with the influence maximization benchmarker suite}, venue = {Online}, year = 2021 }