6 citations · 6 across the 8 of their papers we have counts for
9 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…
Spatio-temporal flow patterns
Chrysanthi Kosyfaki, Nikos Mamoulis, Reynold Cheng +1
Transportation companies and organizations routinely collect huge volumes of passenger transportation data. By aggregating these data (e.g., counting the number of passengers going…
Provenance in Temporal Interaction Networks
Chrysanthi Kosyfaki Nikos Mamoulis
In temporal interaction networks, vertices correspond to entities, which exchange data quantities (e.g., money, bytes, messages) over time. Tracking the origin of data that have re…
Flow Computation in Temporal Interaction Networks
Chrysanthi Kosyfaki, Nikos Mamoulis, Evaggelia Pitoura +1
Temporal interaction networks capture the history of activities between entities along a timeline. At each interaction, some quantity of data (money, information, kbytes, etc.) flo…
Flow Motifs in Interaction Networks
Chrysanthi Kosyfaki, Nikos Mamoulis, Evaggelia Pitoura +1
Many real-world phenomena are best represented as interaction networks with dynamic structures (e.g., transaction networks, social networks, traffic networks). Interaction networks…