LearningInvariantGraphRepresentationsfor Out-of-DistributionGeneralization

Feb-8-2026, 19:59:57 GMT–Neural Information Processing Systems

Thenweusethevariantsubgraphs,i.e., complements of invariant subgraphs, to infer the latent environment labels.

artificial intelligence, machine learning, representation, (16 more...)

Neural Information Processing Systems

Feb-8-2026, 19:59:57 GMT

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Country:
- Asia > China
  - Jiangsu Province > Changzhou (0.04)
- North America > United States
  - California > Santa Clara County > Palo Alto (0.04)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning
  - Neural Networks (0.70)
  - Statistical Learning (0.68)

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Learning Invariant Graph Representations for Out-of-Distribution Generalization

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