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README.md

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@@ -51,7 +51,7 @@ python main.py --model_name metaheac --num_expert 8 --dataset_name AliExpress_NL
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## Results
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> For fair comparisons, the learning rate is 0.001, the dimension of embeddings is 128, and mini-batch size is 2048 equally for all models. asets. We report the mean AUC and Logloss over five random runs. Best results are in boldface.
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> For fair comparisons, the learning rate is 0.001, the dimension of embeddings is 128, and mini-batch size is 2048 equally for all models. We report the mean AUC and Logloss over five random runs. Best results are in boldface.
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