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Related Questions
- What are some common techniques used to address over-smoothing in Graph Convolutional Networks (GCNs)?
- How do researchers handle noisy or unknown graph structures in cold start scenarios when applying GCNs?
- What are some strategies to prevent over-smoothing in GCNs when the graph structure is not well-defined or is missing?
- Can you explain the concept of over-smoothing in GCNs and how it affects performance in cold start scenarios?
- What are some alternative architectures to GCNs that can handle noisy or unknown graph structures in cold start scenarios?
- How do researchers use regularization techniques to prevent over-smoothing in GCNs when the graph structure is unknown or noisy?
- What are some evaluation metrics used to assess the performance of GCNs in cold start scenarios with unknown or noisy graph structures?
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