Domain-specific hierarchical subgraph extraction: A recommendation use case Abstract: Hierarchical relationships play a key role in knowledge graphs. Particularly, large and well-known knowledge ...

In the distribution network graph model G (V, E) for line loss analysis, if there exists Si (Vi, Ei), where Vi ∈ V and Ei ∈ E, then the graph Si is called a subgraph of graph G. Based on the division ...

It introduces additional sentence nodes as the intermediary between number nodes and entity nodes to construct the heterogeneous tripartite graph, then its hierarchical graph attention network (GAT) ...

Heliyon (2020). [2] A class of vertex–edge-growth small-world network models having scale-free, self-similar and hierarchical characters. Physica A Statistical Mechanics and its Applications (2018).

Abstract The Deep Centrality Network (DCN) presents a novel approach to sensor calibration through hierarchical networks of closeness centrality metrics. This implementation leverages multiple ...