most citedOptimizing Navigational Graph Queries

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.DB20261 cited

Optimizing Navigational Graph Queries

Thomas Mulder, George Fletcher, Nikolay Yakovets

We study the optimization of navigational graph queries, i.e., queries which combine recursive and pattern-matching fragments. Current approaches to their evaluation are not effect…

cs.DB2026

Even Faster Geosocial Reachability Queries

Rick van der Heijden, Nikolay Yakovets, Thekla Hamm

Geosocial reachability queries (\textsc{RangeReach}) determine whether a given vertex in a geosocial network can reach any spatial vertex within a query region. The state-of-the-ar…

cs.DB2026

Algorithm Support for Graph Databases, Done Right

Daan de Graaf, Robert Brijder, Soham Chakraborty +3

Graph database query languages cannot express algorithms like PageRank, forcing costly data wrangling, while existing solutions such as algorithm libraries, vertex-centric APIs, an…

cs.DB2025

Meta-Property Graphs: Extending Property Graphs with Metadata Awareness and Reification

Sepehr Sadoughi, Nikolay Yakovets, George Fletcher

The ISO standard Property Graph model has become increasingly popular for representing complex, interconnected data. However, it lacks native support for querying metadata and reif…

cs.DB2025

On the feasibility of semantic query metrics

George Fletcher, Peter Wood, Nikolay Yakovets

We consider the problem of defining semantic metrics for relational database queries. Informally, a semantic query metric for a query language is a metric function $δ:L\times…

cs.DB2025

Discovering Graph Generating Dependencies for Property Graph Profiling

Larissa C. Shimomura, Nikolay Yakovets, George Fletcher

With the increasing use of graph-structured data, there is also increasing interest in investigating graph data dependencies and their applications, e.g., in graph data profiling.…