Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphscs.LG
This work proposes a hybrid method for error detection in noisy Knowledge Graphs.
problem Error detection in noisy Knowledge Graphs.
method Hybrid and modular approach combining path ranking and representation learning.
result Hybrid method outperforms individual methods on benchmarks and real-world dataset.