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Directed Acyclic Graph
Journal of King Saud University - Computer and Information Sciences • Vol 37 • No 9
HiCoS-Net: hierarchical cross-modal graph learning with dynamic attention for hard negative-aware image-text matching
2025
Abstract Fine-grained image-text matching, which is pivotal to multimodal intelligence, has advanced semantic correspondence inference through inter-modal region-word aggregation. Despite the efficacy of this approach, it remains limited by its inability to a…
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Directed Acyclic Graph

Directed graph with no directed cycles

In mathematics, particularly graph theory, and computer science, a directed acyclic graph ( DAG ) is a directed graph with no directed cycles. That is, it consists of vertices and edges (also called arcs ), with each edge directed from one vertex to another, such that following those directions will never form a closed loop. A directed graph is a DAG if and only if it can be topologically ordered, by arranging the vertices as a linear ordering that is consistent with all edge directions. DAGs have numerous scientific and computational applications, ranging from biology (evolution, family trees, epidemiology) to information science (citation networks) to computation (scheduling).

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Journal of King Saud University - Computer and Information Sciences • Vol 37 • No 9
HiCoS-Net: hierarchical cross-modal graph learning with dynamic attention for hard negative-aware image-text matching
2025
Abstract Fine-grained image-text matching, which is pivotal to multimodal intelligence, has advanced semantic correspondence inference through inter-modal region-word aggregation. Despite the efficacy of this approach, it remains limited by its inability to accommodate the semantic associations of hard negative samples. To illustrate this point, consider the failure to leverage shared knowledge across multiple samples on analogous topics. This failure results in an inadequate capacity to differentiate hard negativ…
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