Full Triple Matcher pairs semantically similar triples across two knowledge graphs, classifies them as compatible or divergent, and uses those triple pairs to improve entity alignment.
A Critical Re-Evaluation of Neural Methods for Entity Alignment
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Full Triple Matcher: Integrating all triple elements between heterogeneous Knowledge Graphs
Full Triple Matcher pairs semantically similar triples across two knowledge graphs, classifies them as compatible or divergent, and uses those triple pairs to improve entity alignment.