| Publications [#348027] of Xiaobai Sun
Journal articles or Book chapters PUBLISHED
- Pitsianis, N; Iliopoulos, AS; Floros, D; Sun, X, Spaceland embedding of sparse stochastic graphs,
2019 IEEE High Performance Extreme Computing Conference Hpec 2019
(September, 2019) [doi]
(last updated on 2025/07/04)
Abstract: We introduce SG-t-SNE, a nonlinear method for embedding stochastic graphs/networks into d-dimensional spaces, d = 1, 2, 3, without requiring vertex features to reside in, or be transformed into, a metric space. Graphs/networks are relational data, prevalent in real-world applications. Graph embedding is fundamental to many graph analysis tasks, besides graph visualization. SG-t-SNE follows and builds upon the core principle of t-SNE, which is a widely used method for visualizing high-dimensional data. We also introduce SG-t-SNE-Π, a high-performance software for rapid d-dimensional embedding of large, sparse, stochastic graphs on personal computers with superior efficiency. It empowers SG-t-SNE with modern computing techniques exploiting matrix structures in tandem with memory architectures. We present elucidating graph embedding results with several synthetic graphs and real-world networks in this paper and its Supplementary Material.11Supplementary Material is at http://t-sne-pi.cs.duke.edu.
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