Recent advances in neuro-symbolic AI aim to mitigate scalability and performance issues through modular and hierarchical designs, approximate symbolic inference, and scalable neural backends like graph neural networks (GNNs) that support multi-hop reasoning.

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 (3)

• multi-hop reasoning concept
• Neuro-symbolic artificial intelligence concept
• graph neural networks concept