activity
20152022
most citedThe Future is Big Graphs! A Community View on Graph Processing Systems

157 citations · 161 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DB2022

Reasoning on Property Graphs with Graph Generating Dependencies

Larissa C. Shimomura, Nikolay Yakovets, George Fletcher

Graph Generating Dependencies (GGDs) informally express constraints between two (possibly different) graph patterns which enforce relationships on both graph's data (via property v…

cs.DC2020157 cited

The Future is Big Graphs! A Community View on Graph Processing Systems

Sherif Sakr, Angela Bonifati, Hannes Voigt +38

Graphs are by nature unifying abstractions that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users a…

cs.DB2020

Answer Graph: Factorization Matters in Large Graphs

Zahid Abul-Basher, Nikolay Yakovets, Parke Godfrey +2

Our answer-graph method to evaluate SPARQL conjunctive queries (CQs) finds a factorized answer set first, an answer graph, and then finds the embedding tuples from this. This appro…

cs.DB2020

GGDs: Graph Generating Dependencies

Larissa C. Shimomura, George Fletcher, Nikolay Yakovets

We propose Graph Generating Dependencies (GGDs), a new class of dependencies for property graphs. Extending the expressivity of state of the art constraint languages, GGDs can expr…

cs.DB20154 cited

Towards Query Optimization for SPARQL Property Paths

Nikolay Yakovets, Parke Godfrey, Jarek Gryz

The extension of SPARQL in version 1.1 with property paths offers a type of regular path query for RDF graph databases. Such queries are difficult to optimize and evaluate efficien…