Repository for the paper " Structure Learning for Directed Trees" - MartinEmilJakobsen/CAT. Skip to content. Navigation Menu Toggle navigation. Sign in Product Actions. Automate any workflow Packages.

Learn how to compare tree and graph structures based on their definitions, characteristics, operations, and examples. Find out how to choose between them for your projects.

THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD - We propose a framework for learning the structure of a minimal latent tree with an associated discrepancy measure. Specifically, we apply this ...

All Algorithms implemented in Python. Contribute to prak74/doctests_directed_and_undirected_graphs development by creating an account on GitHub.

We study the performance of externally forced leader-follower networks in directed trees and lattices. By exploiting the lower triangular structure of Laplacian matrices of both classes of graphs, we ...

In this paper, we introduce a novel graph structure, referred to as pathtree, to help labeling very large graphs. The path-tree cover is a spanning subgraph of G in a tree shape. We show path-tree can ...