4 papers
What If: Causal Analysis with Graph Databases
Amedeo Pachera, Mattia Palmiotto, Angela Bonifati +1
Graphs are expressive abstractions representing more effectively relationships in data and enabling data science tasks. They are also a widely adopted paradigm in causal inference…
Transforming Property Graphs
Angela Bonifati, Filip Murlak, Yann Ramusat
In this paper, we study a declarative framework for specifying transformations of property graphs. In order to express such transformations, we leverage queries formulated in the G…
Incremental Sliding Window Connectivity over Streaming Graphs
Chao Zhang, Angela Bonifati, M. Tamer Özsu
We study index-based processing for connectivity queries within sliding windows on streaming graphs. These queries, which determine whether two vertices belong to the same connecte…
Provenance-aware Discovery of Functional Dependencies on Integrated Views
Ugo Comignani, Laure Berti-Équille, Noël Novelli +1
The automatic discovery of functional dependencies(FDs) has been widely studied as one of the hardest problems in data profiling. Existing approaches have focused on making the FD…