5 papers
Toward Temporal Attribution Analytics in Dataflows
Chrysanthi Kosyfaki, Ruiyuan Zhang, Nikos Mamoulis +1
Data provenance (the process of determining the origin and derivation of data outputs) has applications across multiple domains including explaining database query results and audi…
Multi-granularity Spatiotemporal Flow Patterns
Chrysanthi Kosyfaki, Nikos Mamoulis, Reynold Cheng +1
Analyzing flow of objects or data at different granularities of space and time can unveil interesting insights or trends. For example, transportation companies, by aggregating pass…
Data-Aware Socratic Query Refinement in Database Systems
Ruiyuan Zhang, Chrysanthi Kosyfaki, Xiaofang Zhou
In this paper, we propose Data-Aware Socratic Guidance (DASG), a dialogue-based query enhancement framework that embeds \linebreak interactive clarification as a first-class operat…
BEACON: A Benchmark for Efficient and Accurate Counting of Subgraphs
Mohammad Matin Najafi, Xianju Zhu, Chrysanthi Kosyfaki +2
Subgraph counting the task of determining the number of instances of a query pattern within a large graph lies at the heart of many critical applications, from analyzing financial…
A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs
Yun Wang, Chrysanthi Kosyfaki, Sihem Amer-Yahia +1
Hypothesis testing is a statistical method used to draw conclusions about populations from sample data, typically represented in tables. With the prevalence of graph representation…