claim
Sepp Hochreiter argued that Graph Neural Networks are the predominant models of neural-symbolic computing because they describe the properties of molecules, simulate social networks, or predict future states in physical and engineering applications with particle-particle interactions.
Authors
Sources
- Neuro-symbolic AI - Wikipedia en.wikipedia.org via serper
Referenced by nodes (4)
- Neuro-symbolic artificial intelligence concept
- graph neural networks concept
- social networks concept
- molecule concept