In graph compression, nodes and edges are treated as symbols, and their frequencies are determined based on their occurrences in the graph. Nodes and edges with higher occurrences are assigned shorter ...

Graphs are essential data structures used to represent complex relationships between entities in various domains. As graphs grow in size and complexity, there is a need to efficiently compress them ...

Learn about some common graph algorithms for network analysis and optimization, such as shortest path, maximum flow, minimum spanning tree, centrality, and community detection. Agree & Join LinkedIn ...

Babai’s proposed algorithm doesn’t bring graph isomorphism all the way into P, but it comes close. It is quasi-polynomial, he asserts, which means that for a graph with n nodes, the algorithm’s ...

We state a combinatorial optimization problem whose feasible solutions define both a decomposition and a node labeling of a given graph. This problem offers a common mathematical abstraction of ...

The new algorithm checks planarity in a number of steps proportional to the cube of the logarithm of the number of nodes in the graph — an exponential improvement. Holm and Rotenberg, a computer ...

Graph: A mathematical structure consisting of vertices (nodes) and edges (links) that model pairwise relations between objects. Shortest Path: The most efficient route between two vertices in a ...

Our method represents each view of the light field as a node in a graph and uses GraphSAGE to acquire a compressed set of node embeddings that effectively capture the light field. To evaluate our ...