CHAT uses HNSW-specific monotonic and unimodal structure plus resource surrogates to tune M, efc, and efs under constraints, beating black-box tuners by up to 45% throughput or 11% recall and up to 44× faster convergence.
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Exploiting Structural Properties for Efficient Constraint-Aware HNSW Hyperparameter Tuning
CHAT uses HNSW-specific monotonic and unimodal structure plus resource surrogates to tune M, efc, and efs under constraints, beating black-box tuners by up to 45% throughput or 11% recall and up to 44× faster convergence.