The project is a pattern matching tool in the domain of graphs. Graph A is considered a pattern in graph B, when A is a (optionally induced) subgraph, minor, or topological minor of B. Besides being ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Abstract: Graph pattern queries (GPQ) over RDF graphs extend basic graph patterns to support variable-length paths (VLP), thereby enabling complex knowledge retrieval and navigation. Generally, ...

Abstract: In recent years, modeling data in graph structure became evident and effective for processing in some of the prominent application areas like social analytics, health care analytics, ...

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 ...

3d rendered video, seamlessly loopable. Perfectly usable for all kinds of topics related to data and digital analytics. Abstract colorful curves growing as in underwater Abstract colorful curves ...