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Mo Namaki
Mo Namaki
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Verified email at microsoft.com
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Year
Vamsa: Automated provenance tracking in data science scripts
MH Namaki, A Floratou, F Psallidas, S Krishnan, A Agrawal, Y Wu, Y Zhu, ...
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
572020
Discovering Graph Temporal Association Rules
MH Namaki, Y Wu, Q Song, P Lin, T Ge
26th International Conference on Information and Knowledge Management (CIKM), 2017
552017
Answering why-questions for subgraph queries in multi-attributed graphs
Q Song, MH Namaki, Y Wu
2019 IEEE 35th International Conference on Data Engineering (ICDE), 40-51, 2019
272019
Minimizing maximum tardiness and delivery costs in a batched delivery system
MM Mazdeh, M Rostami, MH Namaki
Computers & Industrial Engineering 66 (4), 675-682, 2013
272013
Answering why-questions by exemplars in attributed graphs
MH Namaki, Q Song, Y Wu, S Yang
Proceedings of the 2019 International Conference on Management of Data, 1481 …, 2019
242019
Learning to Speed Up Query Planning in Graph Databases
MH Namaki, R Rahman Chuwdhury, R Islam, JR Doppa, Y Wu
Proceedings of the Twenty-Seventh International Conference on Automated …, 2017
182017
Gexp: Cost-aware graph exploration with keywords
MH Namaki, Y Wu, X Zhang
Proceedings of the 2018 International Conference on Management of Data, 1729 …, 2018
172018
Event Pattern Discovery by Keywords in Graph Streams
MH Namaki, P Lin, Y Wu
2017 IEEE International Conference on Big Data (Big Data), 982-987, 2017
172017
Vamsa: Tracking Provenance in Data Science Scripts
MH Namaki, A Floratou, F Psallidas, S Krishnan, A Agrawal, Y Wu
arXiv preprint, 2020
142020
Select-and-evaluate: A learning framework for large-scale knowledge graph search
FARR Chowdhury, C Ma, MR Islam, MH Namaki, MO Faruk, JR Doppa
Asian conference on machine learning, 129-144, 2017
132017
BEAMS: Bounded Event Detection in Graph Streams
MH Namaki, K Sasani, Y Wu, T Ge
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 2017
132017
Performance Prediction for Graph Queries
MH Namaki, K Sasani, Y Wu, A Gebremedhin
Proceedings of the 2nd ACM SIGMOD Workshop on Network Data Analytics, 2017
112017
Spatio-temporal deep graph network for event detection, localization and classification in cyber-physical electric distribution system
A Ahmed, S Basumallik, A Gholami, SK Sadanandan, MHN Namaki, ...
IEEE Transactions on Industrial Informatics, 2023
82023
Multi-metric graph query performance prediction
K Sasani, MH Namaki, Y Wu, AH Gebremedhin
Database Systems for Advanced Applications: 23rd International Conference …, 2018
72018
Quality-aware keyword query suggestion and evaluation
MH Namaki, Y Wu, X Zhang, Y Ding
US Patent 11,514,049, 2022
52022
Answering why-questions for subgraph queries
Q Song, MH Namaki, P Lin, Y Wu
IEEE Transactions on Knowledge and Data Engineering 34 (10), 4636-4649, 2020
52020
Navigate: Explainable visual graph exploration by examples
MH Namaki, Q Song, Y Wu
Proceedings of the 2019 International Conference on Management of Data, 1965 …, 2019
52019
Network Similarity Prediction in Time-evolving Graphs: A Machine Learning Approach
K Sasani, MH Namaki, A Gebremedhin
GraML 2018 Workshop, 2018
32018
Kronos: lightweight knowledge-based event analysis in cyber-physical data streams
MH Namaki, X Zhang, S Singh, A Ahmed, A Foroutan, Y Wu, ...
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1766-1769, 2020
22020
Diversified keyword expansion on multi-labeled graphs
MH Namaki, Y Wu, X Zhang
Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2018
22018
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