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In this paper, we propose a novel image-based representation to describe graphs, and leverage this descriptor to perform fast graph classification, while.
Mar 4, 2023 · We present an improved granular-ball computing method to represent the image as a graph, in which each node expresses a structural block in the image.
This paper proposes to study the relevance of image representations to perform graph classification. To do so, the adjacency matrix of a given graph is ...
In this paper, we propose to represent images as graphs and capitalize on well-established neural network architectures developed for graph-structured data to ...
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Oct 13, 2024 · In this paper, we propose ChartKG, a novel knowledge graph (KG) based representation for chart images, which can model the visual elements in a chart image and ...
Graph Classification is a task that involves classifying a graph-structured data into different classes or categories.
Jan 5, 2021 · In this paper, we propose to represent images as graphs and capitalize on well-established neural network architectures developed for graph- ...
Fingerprint. Dive into the research topics of 'An image-based representation for graph classification'. Together they form a unique fingerprint.
Oct 22, 2024 · In this paper we will discuss the use of some graph-based representations and techniques for image processing and analysis.
In this paper, we propose a new flexible representation based on the directed acyclic graph to encode CNN architectures, to develop a genetic algorithm (GA) ...