Efficient computation of feedback arc set at web-scale M Simpson, V Srinivasan, A Thomo Proceedings of the VLDB Endowment 10 (3), 133-144, 2016 | 57 | 2016 |
A high precision pipeline for financial knowledge graph construction S Elhammadi, LVS Lakshmanan, R Ng, M Simpson, B Huai, Z Wang, ... Proceedings of the 28th international conference on computational …, 2020 | 46 | 2020 |
Combating fake news: a data management and mining perspective LVS Lakshmanan, M Simpson, S Thirumuruganathan Proceedings of the VLDB Endowment 12 (12), 1990-1993, 2019 | 28 | 2019 |
Clearing contamination in large networks M Simpson, V Srinivasan, A Thomo IEEE Transactions on Knowledge and Data Engineering 28 (6), 1435-1448, 2016 | 27 | 2016 |
Misinformation mitigation under differential propagation rates and temporal penalties M Simpson, F Hashemi, LVS Lakshmanan arXiv preprint arXiv:2206.11419, 2022 | 9 | 2022 |
To intervene or not to intervene: Cost based intervention for combating fake news S Thirumuruganathan, M Simpson, LVS Lakshmanan Proceedings of the 2021 International Conference on Management of Data, 2300 …, 2021 | 8 | 2021 |
Scalable misinformation prevention in social networks M Simpson, V Srinivasan, A Thomo arXiv preprint arXiv:1807.01162, 2018 | 5 | 2018 |
Reverse prevention sampling for misinformation mitigation in social networks M Simpson, V Srinivasan, A Thomo arXiv preprint arXiv:1807.01162, 2018 | 4 | 2018 |
Strongly Minimal MapReduce Algorithms: A TeraSort Case Study D Xia, M Simpson, V Srinivasan, A Thomo Foundations of Information and Knowledge Systems: 11th International …, 2020 | 1 | 2020 |
Scalable algorithms for misinformation prevention in social networks M Simpson | 1 | 2018 |