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1. Fast ending iterations.
When offline graph construction approaches ending, only a few nodes are still improving. In such cases, global iterations should no longer be used. Rather, query-like iterative improving process should be used.
2. Performance modeling and automatic parameter proposing.
For query parameters, the user should only need to supply a required recall, and all parameters shall be automatically suggested via modeling.
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