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Find graph motifs using intuitive notation

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DotMotif is a library that identifies subgraphs or motifs in a large graph. It looks like this:

# Look for all motifs of the form,

# Neuron A excites B:
A -> B [type = "excitatory"]
# ...and B inhibits C:
B -> C [type = "inhibitory"]

Or like this:

TwitterInfluencer(person) {
    # An influencer has more than a million
    # followers and is verified.
    person.followers > 1000000
    person.verified = true
}

InfluencerAwkward(person1, person2) {
    # Two people who are both influencers...
    TwitterInfluencer(person1)
    TwitterInfluencer(person2)
    # ...where one follows the other, but...
    person1 -> person2
    # ...the other doesn't follow back
    person2 !> person1
}

# Search for all awkward twitter influencer
# relationships in the dataset:
InfluencerAwkward(X, Y)

Get Started

To follow along in an interactive Binder without installing anything, launch a Jupyter Notebook here:

Binder

If you have DotMotif, a NetworkX graph, and a curious mind, you already have everything you need to start using DotMotif:

from dotmotif import Motif, GrandIsoExecutor

executor = GrandIsoExecutor(graph=my_networkx_graph)

triangle = Motif("""
A -> B
B -> C
C -> A
""")

results = executor.find(triangle)

Parameters

You can also pass optional parameters into the constructor for the dotmotif object. Those arguments are:

Argument Type, Default Behavior
ignore_direction bool: False Whether to disregard direction when generating the database query
limit int: None A limit (if any) to impose on the query results
enforce_inequality bool: False Whether to enforce inequality; in other words, whether two nodes should be permitted to be aliases for the same node. For example, in A->B->C; if A!=C, then set to True
exclude_automorphisms bool: False Whether to return only a single example for each detected automorphism. See more in the documentation

For more details on how to write a query, see Getting Started.


Citing

If this tool is helpful to your research, please consider citing it with:

# https://doi.org/10.1101/2020.06.08.140533
@article {Matelsky_DotMotif,
    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},
    title = {DotMotif: An open-source tool for connectome subgraph isomorphism search and graph queries},
    elocation-id = {2020.06.08.140533},
    year = {2021},
    doi = {10.1101/2020.06.08.140533},
    publisher = {Cold Spring Harbor Laboratory},
    URL = {https://www.biorxiv.org/content/early/2021/01/14/2020.06.08.140533},
    eprint = {https://www.biorxiv.org/content/early/2021/01/14/2020.06.08.140533.full.pdf},
    journal = {bioRxiv}
}

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Find graph motifs using intuitive notation

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