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Vamsa: Tracking Provenance in Data Science Scripts., , , , , and . CoRR, (2020)Minimizing maximum tardiness and delivery costs in a batched delivery system., , and . Comput. Ind. Eng., 66 (4): 675-682 (2013)Vamsa: Automated Provenance Tracking in Data Science Scripts., , , , , , , and . KDD, page 1542-1551. ACM, (2020)Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams., , , , , , , and . ICDE, page 1766-1769. IEEE, (2020)Answering Why-questions by Exemplars in Attributed Graphs., , , and . SIGMOD Conference, page 1481-1498. ACM, (2019)Answering Why-Questions for Subgraph Queries., , , and . IEEE Trans. Knowl. Data Eng., 34 (10): 4636-4649 (2022)NAVIGATE: Explainable Visual Graph Exploration by Examples., , and . SIGMOD Conference, page 1965-1968. ACM, (2019)Network Similarity Prediction in Time-Evolving Graphs: A Machine Learning Approach., , and . IPDPS Workshops, page 1184-1193. IEEE Computer Society, (2018)Answering Why-Questions for Subgraph Queries in Multi-attributed Graphs., , and . ICDE, page 40-51. IEEE, (2019)Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search., , , , , and . ACML, volume 77 of Proceedings of Machine Learning Research, page 129-144. PMLR, (2017)