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您好! 我在运行代码:experiment(dataset="ppi", model="deepwalk", dw="network_embedding_dw", mw="network_embedding_mw", training_percents=[0.5]) 后,输出的 micro-F1=0.6416。然而,文章:“CogDL: A Comprehensive Library for Graph Deep Learning” Table 5 中的结果:micro-F1=0.2074。 这两个数据对应不上,想问下是哪里出问题了?是否是因为不能采用默认参数设置?怎么才能具体复现出Table 5中的结果呢?感谢!
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Hi @KevinGao7 ,
叫PPI的数据集有多个,Table5中用的PPI在cogdl包中对应“ppi-ne”,您可以试下这个
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您好!
我在运行代码:experiment(dataset="ppi", model="deepwalk", dw="network_embedding_dw", mw="network_embedding_mw", training_percents=[0.5]) 后,输出的 micro-F1=0.6416。然而,文章:“CogDL: A Comprehensive Library for Graph Deep Learning” Table 5 中的结果:micro-F1=0.2074。
这两个数据对应不上,想问下是哪里出问题了?是否是因为不能采用默认参数设置?怎么才能具体复现出Table 5中的结果呢?感谢!
The text was updated successfully, but these errors were encountered: