This paper describes a dependency based network model which allows the explicit modeling of information/knowledge content, the conduits through which ...
This paper describes a dependency based network model which allows the explicit modeling of information/knowledge content, the conduits through which ...
Drabble [11] applied the dependency network analysis to identify the key dependent nodes and conduits within the information propagation network for emergency ...
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Sep 16, 2022 · Information propagation on networks is a central theme in social, behavioral, and economic sciences, with important theoretical and ...
Missing: dependency | Show results with:dependency
Graph-based dependency parsing models have achieved state-of-the-art performance, yet their defect in feature representation is obvious: these models ...
To address these limitations, this article proposes an alternative method using Dependency Network, which is an approximated version of the Bayesian Network.
We start with a baseline model using a CNN with only the words on the shortest path. We then add dependency relations and attached subtrees. The results ...
We study the formation of dependency networks among software packages and li- braries, guided by a structural model of network formation with observable and ...
Mar 21, 2017 · We propose a method to identify the most influential nodes in the network based on how many other nodes they could potentially reach through an ...
Missing: dependency | Show results with:dependency
Oct 14, 2024 · This thesis investigates the dynamics of information propagation within DGNs for static and dynamic graphs, focusing on their design as dynamical systems.