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Related Questions
- What are the key challenges in applying gradient-based optimization methods to large graph neural networks?
- How do the computational costs of SGD and Adam compare when applied to large-scale graph neural networks?
- What are some strategies for improving the convergence of gradient-based optimization methods on large graph neural networks?
- Can you discuss the impact of graph structure on the performance of SGD and Adam on large graph neural networks?
- How do the memory requirements of SGD and Adam scale with the size of the graph neural network?
- What are some techniques for reducing the computational overhead of gradient-based optimization methods on large graph neural networks?
- Can you compare the performance of SGD and Adam on large graph neural networks with different types of graph structures?
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