Visually Guided Network Reconstruction Using Multiple Embeddings
- Resource Type
- Conference
- Authors
- Witschard, Daniel; Jusufi, Ilir; Kucher, Kostiantyn; Kerren, Andreas
- Source
- 2023 IEEE 16th Pacific Visualization Symposium (PacificVis) PACIFICVIS Pacific Visualization Symposium (PacificVis), 2023 IEEE 16th. :212-216 Apr, 2023
- Subject
- Computing and Processing
Visual analytics
Data visualization
Ensemble learning
Task analysis
Graph embedding
network embedding
similarity calculations
visual analytics
visualization
- Language
- ISSN
- 2165-8773
Embeddings are powerful tools for transforming complex and unstructured data into numeric formats suitable for computational analysis tasks. In this paper, we extend our previous work on using multiple embeddings for text similarity calculations to the field of networks. The embedding ensemble approach improves network reconstruction performance compared to single-embedding strategies. Our visual analytics methodology is successful in handling both text and network data, which demonstrates its generalizability beyond its originally presented scope.