Russell Jurney’s Post

View profile for Russell Jurney, graphic

Graphs and Generative AI

I find Graphistry is an essential tool for sense making with large networks.

View profile for Leo Meyerovich, graphic

Founder Graphistry.com & Louie.AI: 100X Data-intensive investigations w/ genAI-native design and GPU graph AI. Started GFQL, GPU dataframes, web FRP. Hiring marketing, engineering, data science @ graphistry.com/careers .

Make big graphs less of a hairball in the latest Graphistry, Inc. pygraphistry with one line: `g.modularity_weighted_layout().plot()` ! Same-community nodes cluster together; reuse w/ existing layouts; opt-in GPU mode 🤠 Before/after on cleaning up a crypto money laundering investigation 👇 This was a fun one -- a surprisingly simple concept goes super far in practice, slotted nicely into the system, and a nice trick in practice before going into heavier methods like graph neural network embeddings

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Thomas Thelen

Knowledge Graph MLE & Data Engineer

3mo

Still trying to make sense of how to deploy it locally. "Graphistry easily installs as self-contained Docker containers via docker-compose so you can quickly plug in and get to work. https://www.graphistry.com/get-started lists "Anywhere (Docker)" under their enterprise plan. For me to deploy a graphistry node locally - do I really need the Enterprise plan?

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