Novel Applications of Graph Embedding Techniques
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Force-directed graph embedding algorithms, like the Fruchterman-Reingold method, are typically used to generate aesthetically pleasing graph layouts. At a fundamental level, these algorithms are based on manipulating the structural properties of the graph to match them to certain spatial requirements. This relation between structural and spatial properties is also present in other areas beyond graph visualization. In this talk, I will discuss how graph embedding can be used in diverse areas such as (i) improving the accuracy of unsupervised clustering, (ii) creating good quality elements in unstructured meshes and (iii) identifying perturbations in large-scale networks.