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Comment by adsharma | Hacker News Reader

The reason for not recommending networkx is the choice it offers:

  fast on the GPU: nx-cugraph
  slow on the CPU: networkx (no arrow, see linked graph-benchmark)

I'm looking to offer something that's best in class on both CPU and GPU, so people don't have to choose.

Now that nvidia is becoming a major CPU vendor, they may like the idea too.

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agreed. gfql already gives this best-of-both for oss cpu+gpu cypher as we've been steadily working through benchmarks like ldbc, pokec, etc.

The HPC lessons for graph algorithms is less obvious as the substrate the OP is working through is close but not quite what HPC folks figured out, so the trade-off of fast to write and maintainable (dataframe/db-based) vs at the achievable magnitude of performance is tricky. LLMs change the calculus here too IMO, so I've been thinking a lot about more NUMA-exposed ideas that before were relegated to PhD land.

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