Given a KGX Neo4j KG engine, returns a graph representing the diversity of node categories and edge predicates for browsing. The returned graph is guaranteed to contain at least one node of every category, and at least one edge of every predicate. No other guarantees are made: the example graph is not minimal to satisfy these criteria, it is not random or even pseudo-random, and it may not be connected.

# S3 method for class 'neo4j_engine'
example_graph(engine, ...)

Arguments

engine

A neo4j_engine object

...

Other parameters (not used)

Value

A tbl_kgx graph

Examples

# Retrieve and print an example graph:
g <- monarch_engine() |> example_graph()
#> Trying to connect to https://neo4j.monarchinitiative.org
#> Connected to https://neo4j.monarchinitiative.org
print(g)
#> # A tbl_graph: 79 nodes and 44 edges
#> #
#> # A directed acyclic simple graph with 37 components
#> #
#> # Node Data: 79 × 22 (active)
#>    id         category pcategory name  symbol in_taxon_label description synonym
#>    <chr>      <list>   <chr>     <chr> <chr>  <chr>          <chr>       <list> 
#>  1 WB:WBGene… <chr>    biolink:… abc-1 abc-1  Caenorhabditi… NA          <lgl>  
#>  2 GO:0051306 <chr>    biolink:… mito… NA     NA             The proces… <chr>  
#>  3 NCBIGene:… <chr>    biolink:… CRAB… CRABP2 Bos taurus     cellular r… <lgl>  
#>  4 FB:FBgn00… <chr>    biolink:… fabp  fabp   Drosophila me… NA          <chr>  
#>  5 dictyBase… <chr>    biolink:… DDB_… DDB_G… Dictyostelium… NA          <lgl>  
#>  6 GO:0070876 <chr>    biolink:… SOSS… NA     NA             A protein … <lgl>  
#>  7 GO:0001556 <chr>    biolink:… oocy… NA     NA             A developm… <lgl>  
#>  8 WB:WBGene… <chr>    biolink:… acy-4 acy-4  Caenorhabditi… NA          <chr>  
#>  9 ZFIN:ZDB-… <chr>    biolink:… klf2… NA     Danio rerio    NA          <lgl>  
#> 10 ZFIN:ZDB-… <chr>    biolink:… bns12 NA     Danio rerio    NA          <lgl>  
#> # ℹ 69 more rows
#> # ℹ 14 more variables: full_name <chr>, xref <list>, in_taxon <chr>,
#> #   namespace <chr>, provided_by <chr>, type <list>, iri <chr>,
#> #   related_synonyms <chr>, exact_synonyms <chr>, subsets <chr>,
#> #   narrow_synonyms <chr>, has_gene <chr>, broad_synonyms <chr>,
#> #   deprecated <lgl>
#> #
#> # Edge Data: 44 × 23
#>    from    to subject    predicate object primary_knowledge_so…¹ knowledge_level
#>   <int> <int> <chr>      <chr>     <chr>  <chr>                  <chr>          
#> 1     1     2 WB:WBGene… biolink:… GO:00… infores:wb             knowledge_asse…
#> 2     3     4 NCBIGene:… biolink:… FB:FB… infores:panther        knowledge_asse…
#> 3     5     6 dictyBase… biolink:… GO:00… infores:go-central     knowledge_asse…
#> # ℹ 41 more rows
#> # ℹ abbreviated name: ¹​primary_knowledge_source
#> # ℹ 16 more variables: negated <lgl>, species_context_qualifier <chr>,
#> #   agent_type <chr>, aggregator_knowledge_source <chr>, has_evidence <chr>,
#> #   provided_by <chr>, id <chr>, category <list>, publications <list>,
#> #   qualifier <chr>, original_predicate <chr>, qualifiers <list>,
#> #   disease_context_qualifier <chr>, original_object <chr>, …