A film about woman who dies from dust pollution and returns to posses her husband's vacuum cleaner is just one of the recent ...

Given a finite directed graph with n vertices, we define a metric dG on Fnq, where Fq is the finite field with q elements. The weight of a word is defined as the number of vertices that can be reached ...

Directed networks allow us to solve flow problems. Flow problems involve moving units through a directed graph from a source to a sink, where the movement constrained by the capacities of the edges.

As mentioned, the k max core (hierarchical structure) and afferent node capacity (sum of edge weights of voxels on a directed weighted graph) of positive graphs corroborated each other, revealing ...

Graph Representation: Implements a structured approach to defining graphs, including constructors, accessors, and modifiers. Edge Class Hierarchy: edge: Base class for all edges. weighted_edge: ...

Bellman-Ford algorithm So what do we do when we have negative weights? As long as there are no negative cycles in our weighted directed graph we can use the Bellman-Ford algorithm. Like Dijkstra’s ...

To create a directed graph in Python for solving problems on LeetCode, you typically represent the graph using data structures such as adjacency lists.

Take your temporal graph analysis to the next level with TempoKGAT: a powerful graph attention network featuring time-decaying weights and selective neighbor aggregation.