Abstract: Finding query patterns in a graph is fundamental for graph data analytics. Existing works mostly focus on either finding a single query pattern or finding patterns in a static graph. However ...

Faulkner DB empowers software teams to capture, query, and analyze architectural decisions, implementation patterns, and failures as they evolve over time. Built on FalkorDB (CPU-friendly graph ...

A fun demonstration that GitHub's contribution graph is just pixels, not a measure of your worth as a developer. This project exists to make an important point: GitHub contribution graphs are NOT a ...

A set of vertices with each vertex having zero or more labels and zero or more properties/attributes. A set of edges with each edge being directed from one vertex to another vertex. Each edge has zero ...

The structured data landscape has undergone significant transformation in 2024, driven by the rise of AI-powered search, the growing importance of machine-readable content, and the need to ground ...

GNNs have excelled in analyzing structured data but face challenges with dynamic, temporal graphs. Traditional forecasting, often used in fields like economics and biology, relied on statistical ...

Graph databases (GDBs) 13, 30 have gained momentum with the rise of large unstructured repositories of information that emphasize relations between entities. Dozens of GDB management systems, 8, 22, ...