IEEE transactions on pattern analysis and machine intelligence
Improving Embedding of Graphs with Missing Data by Soft Manifolds.
Andrea Marinoni, Pietro Lio, Alessandro Barp, Mark Girolami
Published: 202510.1109/TPAMI.2025.3627795
Abstract
Embedding graphs in continuous spaces is a key factor for automatic information extraction in diverse tasks (e.g., learning, inferring, predicting). The reliability of graph embeddings directly depends on how much the geometry of the manifold in cont…
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