Learning to learn graph topologies
Learning a graph topology to reveal the underlying relationship between data entities plays an important role in various machine learning and data analysis tasks. Under the assumption that structured data vary smoothly over a graph, the problem can be formulated as a regularised convex optimisation...
Main Authors: | , , , , |
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Format: | Conference item |
Language: | English |
Published: |
Neural Information Processing Systems Foundation
2021
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