Comments (4)
ZichaoHuang
commented on June 1, 2024
在这一行会把top_k所得到的结果倒序，实际上是找了距离最小的10个idx。
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sjtuxcx
commented on June 1, 2024
不好意思，我还是没搞明白，（挠头）这一行指的是_, idx_tail_prediction = tf.nn.top_k(tf.reduce_sum(tf.abs(distance_tail_prediction), axis=1),k=self.kg.n_entity)吗，如果倒序的话不应该是在abs或者reduce_sum操作后加一个负号吗
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ZichaoHuang
commented on June 1, 2024
"这一行“指的是model.py的第235行，其中的idx_head_prediction[::-1]把tf.nn.top_k()所得到的结果进行了倒序，所以实际上是查找了距离最小的10个idx。
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sjtuxcx
commented on June 1, 2024
哦哦，你的k取了entity的数量，明白了，谢谢！
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Related Issues (20)
- embedding结果与entity、relation是如何对应的 HOT 4
- Evaluate rank seems wrong HOT 2
- The result is too good to make me feel confused HOT 2
- a question about hit@1 HOT 2
- 是否存在内存泄露的问题？在每次eval时内存会增加 HOT 7
- 请问一下模型训练好以后要如何进行predict呢？ HOT 1
- could you please support some data link to download in your code, thx HOT 1
- 问题 HOT 3
- rank of head entity in tail prediction HOT 4
- 嵌入数据的导出 HOT 1
- Compute Head and Tail Prediction on FB15K dataset HOT 1
- Format of Input Dataset HOT 2
- 您好，我用了您的代码跑我自己的数据集，为什么我的头实体预测的hit10很低，关系预测结果正常，请问是什么原因？ HOT 2
- run problem HOT 2
- thanks HOT 1
- 一点小问题 HOT 4
- about the norm of entity and relation embeddings HOT 7
- 请问能给出输入数据的形式吗？ HOT 1
- multiprocessing里面的joinablequeue卡住 HOT 5
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