The Gromov-Wasserstein distance between spheres
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Abstract (arXiv)
In this paper we consider a two-parameter family {dGWp,q}p,q of Gromov- Wasserstein distances between metric measure spaces. By exploiting a suitable interaction between specific values of the parameters p and q and the metric of the underlying spaces, we determine the exact value of the distance dGW4,2 between all pairs of unit spheres of different dimension endowed with their Euclidean distance and their uniform measure.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Jun 2023.
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Citing papers per year: 2024: 4; 2025: 2.
6 papers.
- 2024The Z-Gromov-Wasserstein Distancecited by 12
- 2024On Probabilistic Embeddings in Optimal Dimension Reductioncited by 5
- 2024Variational Graph Contrastive Learningcited by 1
- 2025Transfer Learning on Edge Connecting Probability Estimation under Graphon Modelcited by 1
- 2024Note on computational complexity of the Gromov-Wasserstein distancecited by 0
- 2025Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learningcited by 0
- 2025Transfer Learning on Edge Connecting Probability Estimation under Graphon Model7 Oct 2025
- 2025Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning29 May 2025
- 2024Variational Graph Contrastive Learning11 Nov 2024
- 2024The Z-Gromov-Wasserstein Distance15 Aug 2024
- 2024Note on computational complexity of the Gromov-Wasserstein distance12 Aug 2024
- 2024On Probabilistic Embeddings in Optimal Dimension Reduction5 Aug 2024