Abstract: A data processing module for aligning entities between a first knowledge graph (KG1) and a second knowledge graph (KG2) includes an encoder to embed each entity node of KG1 and KG2 to generate a basic entity representation of each knowledge graph. An aggregator generates a relation representation of each knowledge graph using a first graph attention mechanism; generates an entity embedding including the relation representation using a second graph attention mechanism; concatenates the entity embedding including the relation representation with the basic entity representation to generate a relation-aware entity representation of each knowledge graph; and generates an enhanced entity representation of each knowledge graph comprising a single vector for each embedded entity node using a third graph attention mechanism. A comparator compares each node of the enhanced entity representation of KG1 with each node of the enhanced entity representation of KG2 to generate a similarity matrix between KG1 and KG2.