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Found 2 papers, 2 papers with code
Neuro-symbolic computing with spiking neural networks
Knowledge graphs are an expressive and widely used data structure due to their ability to integrate data from different domains in a sensible and machine-readable way.
Learning through structure: towards deep neuromorphic knowledge graph embeddings
Over the recent years, a multitude of different graph neural network architectures demonstrated ground-breaking performances in many learning tasks.
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