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table 3和 table 4的topk 推荐结果中,KGCN比KGAT的效果提升绝对值能达到0.1-0.2,请问您这边分析是什么原因呢? 谢谢!
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您好! 在使用KGAT时,我们没有使用BPR-MF预训练好的user、item embeddings来初始化KGAT的模型参数,尽管这是他们强烈建议的。主要由于时间仓促,我们直接从头训练了KGAT,可能这是最后KGAT效果不佳的原因。 祝好!
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好的了解了,谢谢!
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table 3和 table 4的topk 推荐结果中,KGCN比KGAT的效果提升绝对值能达到0.1-0.2,请问您这边分析是什么原因呢?
谢谢!
The text was updated successfully, but these errors were encountered: