Results 121 to 130 of about 92,871 (231)

Directed Acyclic Graph Convolutional Networks

open access: yesCoRR
Directed acyclic graphs (DAGs) are central to science and engineering applications including causal inference, scheduling, and neural architecture search. In this work, we introduce the DAG Convolutional Network (DCN), a novel graph neural network (GNN) architecture designed specifically for convolutional learning from signals supported on DAGs.
Samuel Rey   +2 more
openaire   +2 more sources

Impact of Macroeconomic Policies on Agricultural Prices [PDF]

open access: yes
Existing empirical evidence on the impact of macroeconomic variables on agriculture remains mixed and inconclusive. This paper re-examines the dynamic relationship between monetary policy variables and agricultural prices using alternative vector ...
Awokuse, Titus O.
core   +1 more source

A Framework for the Optimization of Complex Cyber-Physical Systems via Directed Acyclic Graph. [PDF]

open access: yesSensors (Basel), 2022
Castejón-Limas M   +4 more
europepmc   +1 more source

Constructing Structural VAR Models with Conditional Independence Graphs [PDF]

open access: yes
In this paper graphical modelling is used to select a sparse structure for a multivariate time series model of New Zealand interest rates. In particular, we consider a recursive structural vector autoregressions that can subsequently be described ...
Granville Tunnicliffe Wilson   +2 more
core  

Graphical presentation of confounding in directed acyclic graphs [PDF]

open access: bronze, 2014
M. Suttorp   +4 more
openalex   +1 more source

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