TopoDetect: Framework for Topological Features Detection in Graph Embeddings
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Abstract (arXiv)
TopoDetect is a Python package that allows the user to investigate if important topological features, such as the Degree of the nodes, their Triangle Count, or their Local Clustering Score, are preserved in the embeddings of graph representation models. Additionally, the framework enables the visualization of the embeddings according to the distribution of the topological features among the nodes. Moreover, TopoDetect enables us to study the effect of the preservation of these features by evaluating the performance of the embeddings on downstream learning tasks such as clustering and classification.
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References · 6
- 2017Graph Attention Networkscited by 8,854
- 2016node2vec: Scalable Feature Learning for Networkscited by 1,913
- 2016Variational Graph Auto-Encoderscited by 1,373
- 2017Representation Learning on Graphs: Methods and Applicationscited by 456
- 2018Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Studycited by 5
- 2021Exploring the Representational Power of Graph Autoencodercited by 1
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