In this paper, we employ the decomposition of a directed network as an undirected graph plus its associated node meta-data to characterise the cyclic structure found in directed networks by finding a Minimal Cycle Basis of the undirected graph and augmenting its components with direction information. We show that only four classes of directed cycles exist, and that they can be fully distinguished by the organisation and number of source–sink node pairs and their antichain structure. We are particularly interested in Directed Acyclic Graphs and introduce a set of metrics that characterise the Minimal Cycle Basis using the Directed Acyclic Graphs meta-data information. In particular, we numerically show that transitive reduction stabilises th...
The need to determine the structure of a graph arises in many applications. This paper studies direc...
AbstractIn this paper, we propose that structural learning of a directed acyclic graph can be decomp...
In this article we study directed, acyclic graphs. We introduce the head and tail order relations an...
In this paper, we employ the decomposition of a directed network as an undirected graph plus its ass...
Network theory studies complex interdependencies, commonly observed in our interconnected world. Man...
Finding motifs is important for understanding the structure of a network in terms of its building bl...
Some temporal networks, most notably citation networks, are naturally represented as directed acycli...
AbstractIn this paper we examine the cyclic structure of graphs with edges labelled by elements of a...
We are flooded with large-scale, dynamic, directed, networked data. Analyses requiring exact compari...
Network topology identification is known as the process of revealing the interconnections of a netwo...
The article is devoted to some critical problems of using Bayesian networks for solving practical pr...
Recursive neural networks are a powerful tool for processing structured data. According to the recu...
Recursive neural networks are a powerful tool for processing structured data. According to the recur...
Graph minors are a primary tool in understanding the structure of undirected graphs, with many conce...
A graph consists of a set V of vertices (or nodes) and a set E of edges (or links) that connect some...
The need to determine the structure of a graph arises in many applications. This paper studies direc...
AbstractIn this paper, we propose that structural learning of a directed acyclic graph can be decomp...
In this article we study directed, acyclic graphs. We introduce the head and tail order relations an...
In this paper, we employ the decomposition of a directed network as an undirected graph plus its ass...
Network theory studies complex interdependencies, commonly observed in our interconnected world. Man...
Finding motifs is important for understanding the structure of a network in terms of its building bl...
Some temporal networks, most notably citation networks, are naturally represented as directed acycli...
AbstractIn this paper we examine the cyclic structure of graphs with edges labelled by elements of a...
We are flooded with large-scale, dynamic, directed, networked data. Analyses requiring exact compari...
Network topology identification is known as the process of revealing the interconnections of a netwo...
The article is devoted to some critical problems of using Bayesian networks for solving practical pr...
Recursive neural networks are a powerful tool for processing structured data. According to the recu...
Recursive neural networks are a powerful tool for processing structured data. According to the recur...
Graph minors are a primary tool in understanding the structure of undirected graphs, with many conce...
A graph consists of a set V of vertices (or nodes) and a set E of edges (or links) that connect some...
The need to determine the structure of a graph arises in many applications. This paper studies direc...
AbstractIn this paper, we propose that structural learning of a directed acyclic graph can be decomp...
In this article we study directed, acyclic graphs. We introduce the head and tail order relations an...