Constraint-aware learning and rule-based augmentation are methods used to mitigate catastrophic forgetting when updating neural models with new rules in large-scale knowledge graphs.

Authors

• Person: Not available Organization: Springer
  A Comprehensive Review of Neuro-symbolic AI for Robustness ...

Sources

• A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer via serper

Referenced by nodes (1)

• knowledge graphs concept