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-Measured on 2026-10-24 on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`c185123`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc-complex/tree/c185123edd58b37b417bc4deb2fec643fdbd5e61). Every engine ran one after another with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
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-Run on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`f3e63fd`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc-complex/tree/f3e63fd2b7239a1364a864458f3e7ae07f0d833f). lance-csr was measured on 2026-10-27 and the other engines on 2026-10-24, on the same machine, with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
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- Ratios are geometric means of the per-query ratios, over the queries both engines answered correctly.
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- Ladybug 0.21.2: IC1 returned a wrong answer; IC14 failed (RuntimeError), so they are not timed.
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@@ -258,53 +258,53 @@ Over the 30 queries, lance-csr's speed relative to each engine:
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| lance-csr mode | vs Neo4j | vs Kuzu | vs Ladybug | vs lance-graph |
-Measured on 2026-10-24 on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`6260689`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc/tree/6260689aa1fba4eeb4e99958430386b2fcd13f71). Every engine ran one after another with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
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-Run on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`b649bc1`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc/tree/b649bc166cb5a04a542882fc070d9c4d83507c65). lance-csr was measured on 2026-10-27 and the other engines on 2026-10-24, on the same machine, with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
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- Ratios are geometric means of the per-query ratios, over the queries both engines answered correctly.
-Measured on 2026-10-24 on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`c185123`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc-complex/tree/c185123edd58b37b417bc4deb2fec643fdbd5e61). Every engine ran one after another with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
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-Run on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`f3e63fd`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc-complex/tree/f3e63fd2b7239a1364a864458f3e7ae07f0d833f). lance-csr was measured on 2026-10-27 and the other engines on 2026-10-24, on the same machine, with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
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- Ratios are geometric means of the per-query ratios, over the queries both engines answered correctly.
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- Ladybug 0.21.2: IC1 returned a wrong answer; IC14 failed (RuntimeError), so they are not timed.
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@@ -99,53 +99,53 @@ Over the 30 queries, lance-csr's speed relative to each engine:
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| lance-csr mode | vs Neo4j | vs Kuzu | vs Ladybug | vs lance-graph |
-Measured on 2026-10-24 on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`6260689`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc/tree/6260689aa1fba4eeb4e99958430386b2fcd13f71). Every engine ran one after another with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
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-Run on Apple M5, 24 GB, macOS 26.6.2, from the benchmark repository at commit [`b649bc1`](https://github.com/hyperdimensionalcomputingai/graph-benchmark-ldbc/tree/b649bc166cb5a04a542882fc070d9c4d83507c65). lance-csr was measured on 2026-10-27 and the other engines on 2026-10-24, on the same machine, with the repository's `run_benchmarks.sh` settings; see its README to reproduce the runs.
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- Ratios are geometric means of the per-query ratios, over the queries both engines answered correctly.
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