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

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0f970e7
cleaned up notebooks added to gfql demo folder, readme update
dcolinmorgan Mar 25, 2024
ae45242
revise initial notebook, print df, loop hops
dcolinmorgan Jul 9, 2024
e371bdf
remove stale links
dcolinmorgan Jul 12, 2024
3407edc
resolve readme url x2
dcolinmorgan Jul 15, 2024
e55180f
Merge branch 'master' into clean-gfql-demos
dcolinmorgan Aug 7, 2024
4f53be7
backout md url changes
dcolinmorgan Aug 7, 2024
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4 changes: 2 additions & 2 deletions README.md
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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](https://github.com/graphistry/pygraphistry/blob/master/demos/more_examples/graphistry_features/hop_and_chain_graph_pattern_mining.ipynb), [benchmark](https://github.com/graphistry/pygraphistry/blob/master/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), [benchmark](demos/gfql/benchmark_hops_cpu_gpu.ipynb))

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

Expand Down Expand Up @@ -1250,7 +1250,7 @@ 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](https://github.com/graphistry/pygraphistry/tree/master/demos/more_examples/graphistry_features/hop_and_chain_graph_pattern_mining.ipynb) and the CPU/GPU [benchmark](https://github.com/graphistry/pygraphistry/tree/master/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) and the CPU/GPU [benchmark](demos/gfql/benchmark_hops_cpu_gpu.ipynb)

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same problem here

Traverse within a graph, or expand one graph against another

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