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: In this paper, we focus on labeled graphs that evolve over time. Given a sequence of graph snapshots representing the state of the graph at different time instants, we seek to find the most ...

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, ...

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 ...