Add Navigating Spreading-Out Graph (NSG)#611
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twuebker wants to merge 2 commits intoerikbern:mainfrom
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Currently, one of the state-of-the-art algorithms, the Navigating Spreading-out Graph (NSG), is missing in the benchmark. Add NSG to the set of algorithms. Since NSG does not support non-metric distances, add L2 and normalize + L2 to handle cosine similarity. Add Dockerfile, add to unit tests.
Reduce runtime by only including config options specified in the paper or on the github of NSG.
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@erikbern @maumueller Thanks for the great work on this benchmark. I'd really appreciate it if one of you could review and let me know if you want anything changed. Thanks! |
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NSG [1] is one of the state-of-the-art algorithms according to recent surveys [2] but still missing in the benchmark.
Add NSG along with a very rudimentary configuration (based on what the authors said they used for gist and sift datasets) because NSG takes a bit longer to build compared to other indices. The NSG module uses Python bindings called pynsg that are a wrapper around the reference implementation [3].
Fix issue #112
[1] https://arxiv.org/pdf/1707.00143
[2] https://dl.acm.org/doi/abs/10.1145/3709693
[3] https://github.com/ZJULearning/nsg