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1. Commits on May 18, 2026

   • initial tests

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2. Commits on Apr 27, 2026

   • store simple swap graph from time to time and test them later

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3. Commits on Feb 13, 2026

   • estimate recall during simple edge optimization

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4. Commits on Feb 12, 2026

   • allow running all datasets one after the other

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   • add simple swap test

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5. Commits on Feb 10, 2026

   • add force test flag, to rerun individual graphs

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   • stop the time for the graph stats

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6. Commits on Feb 5, 2026

   • abort anns or exploration test early if possible

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   • simply eps parameter setup for all tests

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   • benchmark all scheme graphs

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   • stop exploration tests if there are not changes

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   • speedup compute_search_reachability

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   • fix imports

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   • formating

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7. Commits on Jan 15, 2026

   • reuse the size scaling files to do the reduce scaling test

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   • measure graph reduction from a clean graph

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   • longer opt scaling tests for deep1m and glove

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   • improve restoreGraph with path search heuristic

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8. Commits on Jan 14, 2026

   • add option to restoreGraph with path search instead of flood fill

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9. Commits on Jan 9, 2026

   • crEG in the dynamic tests

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10. Commits on Dec 31, 2025

    • less verbose files names for the all schemes tests

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11. Commits on Dec 28, 2025

    • fix bug in opt scaling test for enron and audio

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12. Commits on Dec 27, 2025

    • better params for testing

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13. Commits on Dec 25, 2025

    • scheme A,B,C,D for the StreamingData algorithm

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    • more printing for the scaling tests

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    • more ablation study tests

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14. Commits on Dec 24, 2025

    • use the DEG graph when doing the reduction scaling tests

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    • test reduction only with and without edge opt

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    • also test dynamic graph without edge optimization

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    • optimize more during reduction

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    • clear some memory before testing graphs

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    • do not attempt to test an empty graph

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    • test graph reduction also without graph improvement

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    • store all graph during graph reduction scaling

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    • dont count the graph storage time in the size and reduce scaling tests

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