Combined with algorithms that can handle such graphs it’s a great way to not only make the basic structure of a network clear, but also to model structures and systems. Naturally, finding a ...

In practice, many algorithms always seem to work efficiently ... but we somehow can't yet prove that it's easy." Graphs are ...

In recent years, the expansion of low Earth orbit (LEO) satellite constellations has made satellite communications cool again. From providing internet access in remote regions to enabling near-instant ...

They’re driven by algorithms designed to mimic how our brains’ neurons process information. Graph neural networks (GNNs), which model connections between things as pairwise connections, excel at ...

Graph algorithms are the driving force behind the ... The nodes represent the real-life objects we wish to model. The edge is the relationship between them; for example, when I follow you on ...

An algorithm outputting all safe partial solutions ... RECOMB 2018: 105-121 Network flows, and in particular min-cost flows, are a computational model generalizing several classical problems on graphs ...

For decades, engineers have utilized Petri nets to develop automated systems with specific functional requirements or ...

to handle of data and algorithms and by using parallelism and a distributed architecture. TigerGraph treats the graph as both a storage and a computational model. A vertex or an edge in the graph ...