Progressive Knowledge Graph Completion

arXiv:2404.09897v1 Announce Type: cross
Abstract: Knowledge Graph Completion (KGC) has emerged as a promising solution to address the issue of incompleteness within Knowledge Graphs (KGs). Traditional KGC research primarily centers on triple classification and link prediction. Nevertheless, we contend that these tasks do not align well with real-world scenarios and merely serve as surrogate benchmarks. In this paper, we investigate three crucial processes relevant to real-world construction scenarios: (a) the verification process, which arises from the necessity and limitations of …

abstract arxiv benchmarks classification cs.ai cs.cl cs.lg graph graphs issue knowledge knowledge graph knowledge graphs link prediction prediction research serve solution tasks type world