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cleaned up notebooks added to gfql demo folder, readme update #559

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4 changes: 2 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -147,7 +147,7 @@ It is easy to turn arbitrary data into insightful graphs. PyGraphistry comes wit
g2.plot()
```

* GFQL: Cypher-style graph pattern mining queries on dataframes with optional GPU acceleration ([ipynb demo](demos/more_examples/graphistry_features/hop_and_chain_graph_pattern_mining.ipynb), [benchmark](demos/gfql/benchmark_hops_cpu_gpu.ipynb))
* GFQL: Cypher-style graph pattern mining queries on dataframes with optional GPU acceleration ([ipynb demo](demos/more_examples/graphistry_features/hop_and_chain_graph_pattern_mining.ipynb), [chain and hop demo](demos/gfql/simple_gfql_notebook.ipynb), [benchmark](demos/gfql/gfql_cpv_gpu_enchmark.ipynb)
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lingering stale edit?


Run Cypher-style graph queries natively on dataframes without going to a database or Java with GFQL:

Expand Down Expand Up @@ -1248,7 +1248,7 @@ assert 'pagerank' in g2._nodes.columns

PyGraphistry supports GFQL, its PyData-native variant of the popular Cypher graph query language, meaning you can do graph pattern matching directly from Pandas dataframes without installing a database or Java

See also [graph pattern matching tutorial](demos/more_examples/graphistry_features/hop_and_chain_graph_pattern_mining.ipynb) and the CPU/GPU [benchmark](demos/gfql/benchmark_hops_cpu_gpu.ipynb)
See also [graph pattern matching tutorial](demos/more_examples/graphistry_features/hop_and_chain_graph_pattern_mining.ipynb), [starting with chain and hop](demos/gfql/simple_gfql_notebook.ipynb) and the CPU/GPU [benchmark](demos/gfql/gfql_cpv_gpu_enchmark.ipynb)
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lingering stale edit?


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same problem here

Traverse within a graph, or expand one graph against another

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