Before revision:  PairRE is advantageous to represent subrelation as it can capture both the similarities and differences of subrelations effectively . Given simple constraints on relation representations, PairRE can be the first model that is capable of encoding symmetry/antisymmetry, inverse, composition and subrelation relations . Experiments on link prediction benchmarks show PairREcan achieve either state-of-the-art or highly competitive performances. In addition, PairRE has shown encouraging results for encoding subrelation .
After revision:  PairRE is advantageous to represent subrelation as it can capture both the similarities and differences of subrelations effectively . Given simple constraints on relation representations, PairRE can be the first model that is capable of encoding symmetry/antisymmetry, inverse, composition and subrelation relations . Experiments on link prediction benchmarks show PairREcan achieve either state-of-the-art on two knowledge graph datasets of the challenging Open Graph Benchmark .