Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

The standard example is the so-called Ladder Graph. A balanced embedding of this graph looks exactly like a ladder. But Holm says: “In an unbalanced embedding, it is hardly recognizable.” ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Trillion-scale graph processing simulation on a single computer presents a new concept of graph processing Date: May 6, 2021 Source: The Korea Advanced Institute of Science and Technology (KAIST ...

KAIST’s tool – which is named “Trillion-scale Graph Processing Simulation,” or T-GPS – bypasses the storage step. Instead, T-GPS loads the smaller, real graph into its main memory. Then, it runs the ...

For example, a puzzle could have nine letters, shapes, or colors instead of numbers. When graph theorists label the vertices, they call it a “coloring.” A sudoku puzzle begins with a partial ...

Definitions of expander graphs (edge expansion and spectral expansion), equivalence of definitions, the Alon-Boppana theorem, expansion of random graphs, Margulis's construction, expansion in lifts of ...

Hi Guys, I am just playing with dijkstra algorithm in C# and got it working good but now I want to modify it to get all the possible paths from the start and target nodes. Any advise?