build_kgraph: Build a knowledge graph

In kgraph: Knowledge Graphs Constructions and Visualizations

Build a knowledge graph

Description

Build a knowledge graph

Usage

build_kgraph(
  selected_concepts,
  df_weights,
  df_dict = NULL,
  rm_single_groups = TRUE,
  df_sup_nodes = NULL,
  display_val_digits = 3,
  display_val_str = "\nCosine similarity: ",
  str_other = "Other",
  highlight_mult = TRUE,
  multiline_labs = TRUE,
  autoscale = TRUE,
  spring_weights = TRUE,
  n_max_edges = 1000,
  ...
)

Arguments

selected_concepts	Concepts of interest
df_weights	Data frame with columns concept1, concept2, and weight; typically the df_projs slot of the object returned by function fit_embeds_to_pairs
df_dict	Dictionary data frame, with columns id (matched to concepts in df_weights), desc (for labels), color, and optionally group.
rm_single_groups	Should groups with only one element be removed
df_sup_nodes	Data frame of supplementary nodes (work in progress)
display_val_digits	Number of weight digits to be displayed in labels
display_val_str	String to prefix to the displayed value
str_other	String to use for missing groups
highlight_mult	Highlight nodes connected to multiple nodes of interest.
multiline_labs	Use multiline labels (shown when hovered on)
autoscale	Perform scaling with sgraph::scale_graph
spring_weights	Use spring weights (reverts edges weights)
n_max_edges	Threshold on number of edges
...	Passed to scale_kgraph

Value

Knowledge graph, list of slots df_nodes and df_links

kgraph documentation built on April 12, 2025, 1:42 a.m.