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This paper introduces a post-hoc explainable AI method tailored for Knowledge Graph Embedding models. These models are essential to Knowledge Graph Completion yet criticized for their opaque, black-box nature. Despite their significant success in cap
Externí odkaz:
http://arxiv.org/abs/2406.01759
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31af2898377cfda0461340a67ca51d8e
http://hdl.handle.net/11573/1631159
http://hdl.handle.net/11573/1631159