Projections of model spaces for latent graph inference
Graph Neural Networks leverage the connectivity structure of graphs as an inductive bias. Latent graph inference focuses on learning an adequate graph structure to diffuse information on. In this work we employ stereographic projections of the hyperbolic and spherical model spaces, as well as produc...
| Main Authors: | , , |
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| 格式: | Conference item |
| 語言: | English |
| 出版: |
OpenReview
2023
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