most citedGQL and SQL/PGQ: Theoretical Models and Expressive Power

3 citations · 3 across the 2 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Beyond Memorization: Distinguishing Between Pattern-Based and Epistemic Reasoning in LLMs Using Epistemic Puzzles

Adi Gabay, Gabriel Stanovsky, Liat Peterfreund

Epistemic reasoning requires agents to infer the state of the world from partial observations and information about other agents' knowledge. Prior work evaluating LLMs on epistemic…

cs.DB20263 cited

GQL and SQL/PGQ: Theoretical Models and Expressive Power

Amélie Gheerbrant, Leonid Libkin, Liat Peterfreund +1

SQL/PGQ and GQL are very recent international standards for querying property graphs: SQL/PGQ specifies how to query relational representations of property graphs in SQL, while GQL…

cs.DB2026

Database Theory in Action: From Inexpressibility to Efficiency in GQL's Order-Constrained Paths

Hadar Rotschield, Liat Peterfreund

Pattern matching of core GQL, the new ISO standard for querying property graphs, cannot check whether edge values are increasing along a path, as established in recent work. We pre…

cs.DB2025

GPC: A Pattern Calculus for Property Graphs

Nadime Francis, Amélie Gheerbrant, Paolo Guagliardo +7

The development of practical query languages for graph databases runs well ahead of the underlying theory. The ISO committee in charge of database query languages is currently deve…

cs.DB2025

Complexity of Evaluating GQL Queries

Diego Figueira, Anthony W. Lin, Liat Peterfreund

GQL has recently emerged as the standard query language over graph databases (particularly, the property graph model). Indeed, this is analogous to the role of SQL for relational d…

cs.DB2025

On the Expressiveness of Languages for Querying Property Graphs in Relational Databases

Hadar Rotschield, Liat Peterfreund

SQL/PGQ is the emerging ISO standard for querying property graphs defined as views over relational data. We formalize its expressive power across three fragments: the read-only cor…