These functions lets the user query whether the edges in a graph is of a specific type. All functions return a logical vector giving whether each edge in the graph corresponds to the specific type.

```
edge_is_multiple()
edge_is_loop()
edge_is_mutual()
edge_is_from(from)
edge_is_to(to)
edge_is_between(from, to, ignore_dir = !graph_is_directed())
edge_is_incident(nodes)
edge_is_bridge()
edge_is_feedback_arc(weights = NULL, approximate = TRUE)
```

- from, to, nodes
A vector giving node indices

- ignore_dir
Is both directions of the edge allowed

- weights
The weight of the edges to use for the calculation. Will be evaluated in the context of the edge data.

- approximate
Should the minimal set be approximated or exact

A logical vector of the same length as the number of edges in the graph

`edge_is_multiple()`

: Query whether each edge has any parallel siblings`edge_is_loop()`

: Query whether each edge is a loop`edge_is_mutual()`

: Query whether each edge has a sibling going in the reverse direction`edge_is_from()`

: Query whether an edge goes from a set of nodes`edge_is_to()`

: Query whether an edge goes to a set of nodes`edge_is_between()`

: Query whether an edge goes between two sets of nodes`edge_is_incident()`

: Query whether an edge goes from or to a set of nodes`edge_is_bridge()`

: Query whether an edge is a bridge (ie. it's removal will increase the number of components in a graph)`edge_is_feedback_arc()`

: Query whether an edge is part of the minimal feedback arc set (its removal together with the rest will break all cycles in the graph)

```
create_star(10, directed = TRUE, mutual = TRUE) %>%
activate(edges) %>%
sample_frac(0.7) %>%
mutate(single_edge = !edge_is_mutual())
#> `.env` is deprecated and no longer has any effect
#> # A tbl_graph: 10 nodes and 13 edges
#> #
#> # A directed simple graph with 3 components
#> #
#> # Edge Data: 13 × 3 (active)
#> from to single_edge
#> <int> <int> <lgl>
#> 1 1 2 FALSE
#> 2 2 1 FALSE
#> 3 1 3 FALSE
#> 4 3 1 FALSE
#> 5 1 4 TRUE
#> 6 1 5 FALSE
#> 7 5 1 FALSE
#> 8 1 8 FALSE
#> 9 8 1 FALSE
#> 10 1 9 FALSE
#> 11 9 1 FALSE
#> 12 1 10 FALSE
#> 13 10 1 FALSE
#> #
#> # Node Data: 10 × 0
```