mlsanityData to 14 Oct 2026

Visualising Argumentation Graphs with Graph Embeddings and t-SNE

arXiv 2107.00528 ↗First posted 1 Jul 2021cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 11 references that are in the map. First posted on arXiv 1 Jul 2021.

Builds on

4 of 11 references.

References · 4

  1. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,361
  2. 2017Inductive Representation Learning on Large Graphscited by 6,320
  3. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  4. 2017Graph Embedding Techniques, Applications, and Performance: A Surveycited by 188

Built on by

Not cited yet.