157 citations · 250 across the 14 of their papers we have counts for
15 papers
Robust Recursive Query Parallelism in Graph Database Management Systems
Anurag Chakraborty, Semih Salihoğlu
Efficient multi-core parallel processing of recursive join queries is critical for achieving good performance in graph database management systems (GDBMSs). Prior work adopts two b…
NaviX: A Native Vector Index Design for Graph DBMSs With Robust Predicate-Agnostic Search Performance
Gaurav Sehgal, Semih Salihoglu
There is an increasing demand for extending existing DBMSs with vector indices so that they become unified systems capable of supporting modern predictive applications, which requi…
Optimizing Differentially-Maintained Recursive Queries on Dynamic Graphs
Khaled Ammar, Siddhartha Sahu, Semih Salihoglu +1
Differential computation (DC) is a highly general incremental computation/view maintenance technique that can maintain the output of an arbitrary and possibly recursive dataflow co…
Making RDBMSs Efficient on Graph Workloads Through Predefined Joins
Guodong Jin, Semih Salihoglu
Joins in native graph database management systems (GDBMSs) are predefined to the system as edges, which are indexed in adjacency list indices and serve as pointers. This contrasts…
Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs
Jeremy Chen, Yuqing Huang, Mushi Wang +2
We study two classes of summary-based cardinality estimators that use statistics about input relations and small-size joins in the context of graph database management systems: (i)…
Columnar Storage and List-based Processing for Graph Database Management Systems
Pranjal Gupta, Amine Mhedhbi, Semih Salihoglu
We revisit column-oriented storage and query processing techniques in the context of contemporary graph database management systems (GDBMSs). Similar to column-oriented RDBMSs, GDB…