Search NetworkX graph networks using openCypher queries
GitHub - aplbrain/grand-cypher: Implementation of the Cypher language for searching NetworkX graphs
GrandCypher
 
pip install grand-cypher
# Note: You will want a version of grandiso>=2.2.0 for best performance!
# pip install -U 'grandiso>=2.2.0'
GrandCypher is a partial (and growing!) implementation of the Cypher graph query language written in Python, for Python data structures.
You likely already know Cypher from the Neo4j Graph Database. Use it with your favorite graph libraries in Python!
Usage
Example Usage with NetworkX:
from grandcypher import GrandCypher
import networkx as nx

GrandCypher(nx.karate_club_graph()).run("""
MATCH (A)-[]->(B)
MATCH (B)-[]->(C)
WHERE A.club == "Mr. Hi"
RETURN A.club, B.club
""")
See examples.md for more!
Example Usage with SQL
Create your own "Sqlite for Neo4j"! This example uses grand-graph to run queries in SQL:
import grand
from grandcypher import GrandCypher

G = grand.Graph(
    backend=grand.backends.SQLBackend(
        db_url="my_persisted_graph.db",
        directed=True
    )
)

# use the networkx-style API for the Grand library:
G.nx.add_node("A", foo="bar")
G.nx.add_edge("A", "B")
G.nx.add_edge("B", "C")
G.nx.add_edge("C", "A")

GrandCypher(G.nx).run("""
MATCH (A)-[]->(B)-[]->(C)
MATCH (C)-[]->(A)
WHERE
    A.foo == "bar"
RETURN
    A, B, C
""")
Feature Parity



Feature
Support




Multiple MATCH clauses
✅


WHERE-clause filtering on nodes
✅


Anonymous -[]- edges
✅


LIMIT
✅


SKIP
✅


Node/edge attributes with {} syntax
✅


WHERE-clause filtering on edges
✅


Named -[]- edges
✅


Chained ()-[]->()-[]->() edges
✅ Thanks @khoale88!


Backwards ()<-[]-() edges
✅ Thanks @khoale88!


Anonymous () nodes
✅ Thanks @khoale88!


Undirected ()-[]-() edges
✅ Thanks @khoale88!


Boolean Arithmetic (AND/OR)
✅ Thanks @khoale88!


(:Type) node-labels
✅ Thanks @khoale88!


[:Type] edge-labels
✅ Thanks @khoale88!


DISTINCT
✅ Thanks @jackboyla!


ORDER BY
✅ Thanks @jackboyla!


Aggregation functions (COUNT, SUM, MIN, MAX, AVG)
✅ Thanks @jackboyla!


Aliasing of returned entities (return X as Y)
✅ Thanks @jackboyla!


Negated edges (where not (a)-->(b))
🥺


OPTIONAL MATCH
🥺


Graph mutations (e.g. DELETE, SET,...)
🥺














✅ = Supported
🛣 = On Roadmap
🥺 = Help Welcome
🔴 = Not Planned



Citing
If this tool is helpful to your research, please consider citing it with:
# https://doi.org/10.1038/s41598-021-91025-5
@article{Matelsky_Motifs_2021,
    title={{DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries}},
    volume={11},
    ISSN={2045-2322},
    url={http://dx.doi.org/10.1038/s41598-021-91025-5},
    DOI={10.1038/s41598-021-91025-5},
    number={1},
    journal={Scientific Reports},
    publisher={Springer Science and Business Media LLC},
    author={Matelsky, Jordan K. and Reilly, Elizabeth P. and Johnson, Erik C. and Stiso, Jennifer and Bassett, Danielle S. and Wester, Brock A. and Gray-Roncal, William},
    year={2021},
    month={Jun}
}
