(b) The flow chart for network construction ... knowledge to undertake precise and efficient brain network construction, graph theory analysis, and data interpretation. To bolster user proficiency ...

Consider trying to forge a network model of parenting. Clearly, each parent has a connection to a child, but the parenting relationship isn’t just the sum of the two links, as graph theory might model ...

Consider the problem of finding the shortest path between two points on a graph — a network ... in graph theory. That algorithm, developed by Probst Gutenberg and five other researchers, addressed a ...

This is the case with an important problem in computer science called "graph isomorphism testing" whereby scientists use ...

In this paper, we survey the use of networks and network-based methods to study economy- related questions. We start with a brief overview of graph theory and some basic definitions. Then, we discuss ...

By integrating Monte Carlo/Molecular Dynamics simulations to predict surface segregation with a graph neural network (GNN) to assess site-specific activity, this approach establishes a crucial ...

Consider trying to forge a network model of parenting. Clearly, each parent has a connection to a child, but the parenting relationship isn’t just the sum of the two links, as graph theory might ...

Graph Theory, the bedrock of network science, has found extensive application in dissecting the attributes of complex networks, including those of the brain. It lays out a framework for examining ...