Visualising Argumentation Graphs with Graph Embeddings and t-SNE
Lars Malmqvist, Tommy Yuan, Suresh Manandhar

TL;DR
This paper explores the use of t-SNE visualisation on argumentation graphs through various graph embedding methods, revealing structural properties and suggesting new research directions.
Contribution
It introduces a novel application of t-SNE to argumentation graphs using multiple embedding techniques, highlighting its potential for structural analysis.
Findings
t-SNE effectively visualises argumentation graph structures
Different embedding methods reveal diverse structural insights
The approach opens new avenues for research in argumentation analysis
Abstract
This paper applies t-SNE, a visualisation technique familiar from Deep Neural Network research to argumentation graphs by applying it to the output of graph embeddings generated using several different methods. It shows that such a visualisation approach can work for argumentation and show interesting structural properties of argumentation graphs, opening up paths for further research in the area.
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Taxonomy
TopicsAdvanced Graph Neural Networks · Topic Modeling · Software Engineering Research
