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请问训练数据集中inverse的作用是什么。 以及query 嵌入是怎么计算的,怎么得到的query_id
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inverse:头尾预测,query 嵌入用simkgc,transe之类的。他论文和代码里挺清楚的了
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query嵌入是预先通过KGE方法计算出来的,比如TransE、ComplEx等,这些方法会给每个实体和关系分配嵌入向量,然后基于某种评分指标计算出query的嵌入; 举例如下: query(h,r,?) 在 TransE 表示为 | Embedding(h)+Embedding(r) |
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请问训练数据集中inverse的作用是什么。
以及query 嵌入是怎么计算的,怎么得到的query_id
The text was updated successfully, but these errors were encountered: