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  1. No Access

    Chapter and Conference Paper

    TRIC: A Triples Corrupter for Knowledge Graphs

    We study the problem of corrupting triples in Knowledge Graphs (KG) for the purpose of assisting anomaly detection and error detection techniques developed for KG quality enhancement. Our goal is to provide us...

    Asara Senaratne, Pouya Ghiasnezhad Omran… in The Semantic Web: ESWC 2023 Satellite Even… (2023)

  2. No Access

    Chapter and Conference Paper

    Knowledge Graph Rule Mining via Transfer Learning

    Mining logical rules from knowledge graphs (KGs) is an important yet challenging task, especially when the relevant data is sparse. Transfer learning is an actively researched area to address the data sparsity...

    Pouya Ghiasnezhad Omran, Zhe Wang… in Advances in Knowledge Discovery and Data M… (2019)

  3. No Access

    Chapter and Conference Paper

    Transfer Learning in Probabilistic Logic Models

    Several approaches to learning probabilistic logic programs have been proposed in the literature. However, most learning systems based on these approaches are not efficient for handling large practical problem...

    Pouya Ghiasnezhad Omran, Kewen Wang… in AI 2016: Advances in Artificial Intelligen… (2016)