Results 141 to 150 of about 14,176 (292)

Directed Acyclic Graph Convolutional Networks

IEEE Transactions on Signal Processing
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, Hamed Ajorlou, Gonzalo Mateos   +2 more
openaire   +2 more sources

A note on approximating the min–max vertex disjoint paths on directed acyclic graphs

, 2011
This paper shows that the FPTAS for the min–max disjoint paths problem on directed acyclic graphs by Yu et al.
Wu, Bang Ye, Bang Ye Wu
core   +1 more source

Education, Skills, and Intergenerational Inequality in Status Attainment: Causal Mediation Analysis and Typology of 23 OECD Countries

The British Journal of Sociology, EarlyView.
ABSTRACT Scholars have long investigated intergenerational inequality, with attention to the associations among social origins, education, and socio‐economic destinations: the so‐called OED triangle. Meanwhile, recent research highlights distinct roles of education and skills in status attainment.
Satoshi Araki
wiley   +1 more source

Application of Directed Acyclic Graphs in Matching-Adjusted Indirect Comparison and Simulated Treatment Comparison

Application of Directed Acyclic Graphs in Matching-Adjusted Indirect Comparison and Simulated Treatment ...
Uwe Siebert, Sarah Ren, Nicholas Latimer, Ruth Wong, Kate Ren, Min-Hua Jen, Jen-Yu Amy Chang   +6 more
core   +1 more source

Temporal Trends in Pregnancy Outcomes Among Parents With Type 1 Diabetes: A Nationwide Register‐Based Study

BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Objective To assess temporal trends in outcomes of pregnancies with maternal or paternal type 1 diabetes compared to the general population. Design Register‐based study. Setting Denmark. Population 1 551 893 pregnancies from 1997 to 2021, hereof 5478 with maternal and 8072 with paternal type 1 diabetes.
Tina Wullum Gundersen, Sine Knorr, Lene Ringholm, Dorte Moeller Jensen, Peter Damm, Karoline Kragelund Nielsen, Helena Backman, Jeannet Lauenborg, Elisabeth Reinhardt Mathiesen, Anne Helby Petersen, Niels Skipper, Allan Kofoed‐Enevoldsen, Tine Dalsgaard Clausen   +12 more
wiley   +1 more source

Edge Weight Reduction Problems in Directed, Acyclic Graphs

, 1997
Let G be a weighted, directed, acyclic graph in which each edge weight is not a static quantity, but can be reduced for a certain cost. In this paper we consider the problem of determining which edges to reduce so that the length of the longest paths is ...
Susanne Hambrusch, Hung-yi Tu
core  

Lithium Use in Pregnancy and the Risk of Spontaneous Preterm Birth: An Australian Statewide Retrospective Cohort Study

BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Objective To investigate whether lithium exposure in pregnancy is associated with spontaneous preterm birth, congenital malformations and abnormal fetal growth. Design Statewide retrospective cohort study. Setting Victoria, Australia. Population 867 454 births (2009–2020), including 234 (0.03%) exposed to lithium during pregnancy.
Alexandra Roddy Mitchell, Anthea Lindquist, Richard J. Hiscock, Anna Forsythe, Hannah Gordon, Caroline S. E. Homer, Natasha Pritchard, Jessica Atkinson, Susan P. Walker, Stephen Tong, Roxanne Hastie   +10 more
wiley   +1 more source

Learning Discrete Directed Acyclic Graphs via Backpropagation

, 2022
Recently continuous relaxations have been proposed in order to learn Directed Acyclic Graphs (DAGs) from data by backpropagation, instead of using combinatorial optimization.
Zantedeschi, Valentina, Franceschi, Luca, Minervini, Pasquale, Wren, Andrew J.   +3 more
core   +1 more source

Ecological examples of nonstationarity, nonlinearity and statistical interactions in dynamic structural equation models

Methods in Ecology and Evolution, EarlyView.
Abstract Ecologists are adapting structural causal modelling for spatial, phylogenetic and time‐series analysis. However, ecological extensions of path analysis and structural equation models (SEM) typically assume that interactions among variables are stationary, linear and additive, while ecological and evolutionary dynamics are often nonstationary ...
James T. Thorson, Kasper Kristensen
wiley   +1 more source

BIMr2: Inference of migration rates and their drivers from multilocus genotypes

Methods in Ecology and Evolution, EarlyView.
Abstract Understanding how environmental factors drive recent migration is crucial for predicting species' responses to habitat change and for informing conservation strategies. There is one method available (BIMr) aimed at identifying the environmental factors associated with migration patterns using genetic data.
Igor J. Chybicki, Juan J. Robledo‐Arnuncio, Oscar E. Gaggiotti   +2 more
wiley   +1 more source