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Table 4 Parameters used to limit the number of features

From: Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining

Parameter

Domain

Description

k

\({\mathbb {N}}^+\)

Maximum length of paths and path patterns

t

\({\mathbb {N}}\cup \left\{ -1\right\}\)

Maximum depth of generalization

deg

\({\mathbb {N}}\cup \left\{ -1\right\}\)

Maximum node degree to allow expansion

\(s_{\text {min}}\)

\({\mathbb {N}}\)

Minimum support for features

\(s_{\text {max}}\)

\({\mathbb {N}}\)

Maximum support for features

Undirected

\({\mathbb {B}}\)

Consider the graph undirected or directed

\(b_{\text {predicates}}\)

List of URIs

Blacklist of predicates not to traverse

\(b_{\text {exp-types}}\)

List of URIs

Blacklist of types of entities not to traverse

\(b_{\text {gen-types}}\)

List of URIs

Blacklist of types not to traverse in generalization

m

\(\{\texttt {{no- }check} , {\texttt {p}}, {\texttt {g}}, {\texttt {m}}, {\texttt {pg}}, \texttt {pgm}\}\)

Domain-dependent filter for features with at least a pathway (p), a gene (g) or a MeSH class (m)

  1. Each parameter is associated with a domain for its value