multi-head attention rosyYY
模型共包含三个 attention 成分,分别是 encoder 的 self-attention,decoder 的 self-attention,以及连接 encoder 和 decoder 的 attention。这三个 attention block 都是 multi-head attention 的形式,输入都是 query Q 、key K 、value V 三个元素,只是 Q 、 K 、 V 的取值不同罢了。接下来重点讨论最核心的模块 multi-head attention(多头注意力)。 multi-he...
博客园
Positionally restricted masked knowledge graph completion via multi-head mutual attention
without using textual data. We introduce a multi-head mutual attention mechanism that aggregates neighbor information more effectively, improving the model's ability to predict missing links. Experimental results demonstrate that PR-MKGC outperforms existing models in terms of both predictive performance and inference time on the FB15K-237 d...
journal_intecom.xidian.edu.cn
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