Top Tweets for #GFQL

8 months ago

Which graph query language would you most like to see #GFQL support next? For those new to it, GFQL is our open-source, embeddable graph query language built for compute-tier (not storage-tier) workloads. Think daily tasks like on-the-fly graph ETL, analytics, ML, AI, and visualization. It runs directly on columnar data (Pandas/Apache Arrow) with optional GPU acceleration (NVIDIA RAPIDS) - @kuzudb shared many of the same principles. We're nearing expressive parity in the core engine with #OpenCypher (@Neo4j) for typed property graphs, and by design, already do plenty of things it cannot. Community feedback is welcome! As we expand beyond the current @PyData / @nvidia @RAPIDSai / JSON bindings, we’re exploring which external syntaxes and interop models people most want & need. Can use help answering this one 💪🏁

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lmeyerov

@lmeyerov

over 2 years ago

3/ The review analysis: * Load 130K reviews into @pandas_dev * #UMAP similarity graph embedding: node=review, edge=similarity * #GFQL drilldown into uranium-related review subgraph * #UMAP again, getting a subgraph breakdown * Jump into the interactive similarity graph viz

222

lmeyerov

@lmeyerov

over 2 years ago

1/ Much of data science boils down to making & wrangling correlations, so it's been 🤯 combining the auto #UMAP we open sourced last year with the new #PyGraphistry #GFQL graph dataframe query lang we just launched Here's working interactively with 130K+ Amazon reviews:

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