Learning the structure of multivariate regression chain graphs by testing complete separators in prime blocks
Sign Up to like & getrecommendations! Published in 2024 at "Applied Intelligence"
DOI: 10.1007/s10489-024-05752-z
Abstract: This paper introduces an algorithm to construct a bidirectional causal graph using an augmented graph. The algorithm decomposes the augmented graph, significantly reducing the size of the variable set required for conditional independence testing. Simultaneously,… read more here.
Keywords: regression chain; augmented graph; multivariate regression; structure ... See more keywords
Augmented Graph Convolutional Network for Enhancing Label Reachability
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DOI: 10.1109/access.2025.3555997
Abstract: Graph Convolutional Networks (GCNs) have emerged as a leading approach for semi-supervised node classification. However, due to the uneven distribution of labeled nodes in graphs, only a limited subset of unlabeled nodes can directly access… read more here.
Keywords: graph convolutional; augmented graph; network enhancing; reachability ... See more keywords
Semilocal Average Shortest Path With Augmented Graph for Identifying Influential Nodes
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DOI: 10.1109/tcss.2024.3443746
Abstract: Efficient identification of influential nodes is crucial in complex networks due to its significant theoretical and practical implications for information propagation and various applications. Despite numerous approaches being developed, many existing methods rely on centrality… read more here.
Keywords: influential nodes; augmented graph; average shortest; semilocal average ... See more keywords