| Online topic-aware influence maximization queries. C Aslay, N Barbieri, F Bonchi, R Baeza-Yates EDBT, 295-306, 2014 | 119 | 2014 |
| Viral marketing meets social advertising: Ad allocation with minimum regret C Aslay, W Lu, F Bonchi, A Goyal, LVS Lakshmanan Proceedings of the VLDB Endowment 8 (7), 822-833, 2015 | 70 | 2015 |
| Influence maximization in online social networks C Aslay, LVS Lakshmanan, W Lu, X Xiao Proceedings of the eleventh ACM international conference on web search and …, 2018 | 53 | 2018 |
| Competition-based networks for expert finding Ç Aslay, N O'Hare, LM Aiello, A Jaimes Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 53 | 2013 |
| Revenue Maximization in Incentivized Social Advertising C Aslay, F Bonchi, LVS Lakshmanan, W Lu Proceedings of the VLDB Endowment 10 (11), 1238-1249, 2017 | 50 | 2017 |
| Maximizing the diversity of exposure in a social network C Aslay, A Matakos, E Galbrun, A Gionis 2018 IEEE international conference on data mining (ICDM), 863-868, 2018 | 30 | 2018 |
| Mining frequent patterns in evolving graphs Ç Aslay, MAU Nasir, G De Francisci Morales, A Gionis Proceedings of the 27th ACM International Conference on Information and …, 2018 | 30 | 2018 |
| Maximizing the diversity of exposure in a social network A Matakos, C Aslay, E Galbrun, A Gionis IEEE Transactions on Knowledge and Data Engineering 34 (9), 4357-4370, 2020 | 23 | 2020 |
| Querying intimate-core groups in weighted graphs D Zheng, J Liu, RH Li, C Aslay, YC Chen, X Huang 2017 IEEE 11th International Conference on Semantic Computing (ICSC), 156-163, 2017 | 16 | 2017 |
| Co-exposure maximization in online social networks S Tu, C Aslay, A Gionis Advances in Neural Information Processing Systems 33, 3232-3243, 2020 | 15 | 2020 |
| Robust cascade reconstruction by steiner tree sampling H Xiao, C Aslay, A Gionis 2018 IEEE International Conference on Data Mining (ICDM), 637-646, 2018 | 12 | 2018 |
| Efficient and effective algorithms for revenue maximization in social advertising K Han, B Wu, J Tang, S Cui, C Aslay, LVS Lakshmanan Proceedings of the 2021 international conference on management of data, 671-684, 2021 | 9 | 2021 |
| TipTap: Approximate Mining of Frequent k-Subgraph Patterns in Evolving Graphs MAU Nasir, C Aslay, GDF Morales, M Riondato ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (3), 1-35, 2021 | 9 | 2021 |
| Learning ideological embeddings from information cascades C Monti, G Manco, C Aslay, F Bonchi Proceedings of the 30th ACM International Conference on Information …, 2021 | 7 | 2021 |
| Discovering Interesting Cycles in Directed Graphs F Adriaens, C Aslay, T De Bie, A Gionis, J Lijffijt Proceedings of the 28th ACM International Conference on Information and …, 2019 | 5 | 2019 |
| ActUp: Analyzing and Consolidating tSNE and UMAP A Draganov, JR Jørgensen, KS Nellemann, D Mottin, I Assent, T Berry, ... arXiv preprint arXiv:2305.07320, 2023 | 3 | 2023 |
| Workload-aware materialization for efficient variable elimination on Bayesian networks C Aslay, M Ciaperoni, A Gionis, M Mathioudakis 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1152-1163, 2021 | 1 | 2021 |
| Query the model: precomputations for efficient inference with Bayesian Networks C Aslay, A Gionis, M Mathioudakis arXiv preprint arXiv:1904.00079, 2019 | 1 | 2019 |
| Workload-Aware Materialization of Junction Trees M Ciaperoni, C Aslay, A Gionis, M Mathioudakis arXiv preprint arXiv:2110.03475, 2021 | | 2021 |
| From viral marketing to social advertising: ad allocation under social influence Ç Aslay Universitat Pompeu Fabra, 2016 | | 2016 |
Aristides GionisKTH Royal Institute of Technology, and Aalto UniversityVerified email at kth.se
