TransG 模型对FB15K数据集进行训练时，为什么达不到论文中所提到的效果，我的参数完全按照论文中的参数设定的，请问TransG类的其他参数如何设置？
我训练的效果如下：
这是left：
1:0.787124
2:0.883082
3:0.244106
4:0.565695
Raw.BestMEANS = 265.16
Raw.BestMRR = 0.205449
Raw.BestHITS = 0.411251
Filter.BestMEANS = 152.369
Filter.BestMRR= 0.331879
Filter.BestHITS = 0.548831
total = 59071
这是right:
1:0.76324
2:0.286448
3:0.902593
4:0.592057
Raw.BestMEANS = 194.49
Raw.BestMRR = 0.265348
Raw.BestHITS = 0.489513
Filter.BestMEANS = 122.189
Filter.BestMRR= 0.390626
Filter.BestHITS = 0.614701
total = 59071
与论文中的相差有点大。我的n_cluster = 20; step_before = 10,variance_bound = 0.01,sot = false, be_weight_normalized = true; @BookmanHan
TransG 模型对FB15K数据集进行训练时，为什么达不到论文中所提到的效果，我的参数完全按照论文中的参数设定的，请问TransG类的其他参数如何设置？
我训练的效果如下：
这是left：
1:0.787124
2:0.883082
3:0.244106
4:0.565695
Raw.BestMEANS = 265.16
Raw.BestMRR = 0.205449
Raw.BestHITS = 0.411251
Filter.BestMEANS = 152.369
Filter.BestMRR= 0.331879
Filter.BestHITS = 0.548831
total = 59071
这是right:
1:0.76324
2:0.286448
3:0.902593
4:0.592057
Raw.BestMEANS = 194.49
Raw.BestMRR = 0.265348
Raw.BestHITS = 0.489513
Filter.BestMEANS = 122.189
Filter.BestMRR= 0.390626
Filter.BestHITS = 0.614701
total = 59071
与论文中的相差有点大。我的n_cluster = 20; step_before = 10,variance_bound = 0.01,sot = false, be_weight_normalized = true; @BookmanHan