自爱 发表于 2025-3-28 16:58:38
http://reply.papertrans.cn/23/2203/220232/220232_41.png铁塔等 发表于 2025-3-28 20:47:07
http://reply.papertrans.cn/23/2203/220232/220232_42.png刚开始 发表于 2025-3-29 00:42:16
http://reply.papertrans.cn/23/2203/220232/220232_43.png空中 发表于 2025-3-29 06:26:03
http://reply.papertrans.cn/23/2203/220232/220232_44.pngRheumatologist 发表于 2025-3-29 09:44:31
http://reply.papertrans.cn/23/2203/220232/220232_45.pnggranite 发表于 2025-3-29 13:00:14
Compound Property Prediction Based on Multiple Different Molecular Features and Ensemble Learning,ations generated based on different ways were concatenated, and they were input into the ensemble model for prediction. Finally, the score of 0.8985 was obtained in the test dataset, and won the first place.Vldl379 发表于 2025-3-29 18:42:16
http://reply.papertrans.cn/23/2203/220232/220232_47.png送秋波 发表于 2025-3-29 21:47:51
http://reply.papertrans.cn/23/2203/220232/220232_48.png防锈 发表于 2025-3-30 02:27:18
http://reply.papertrans.cn/23/2203/220232/220232_49.pngsurrogate 发表于 2025-3-30 07:44:57
https://doi.org/10.1007/978-3-658-30515-4 present a three-stage approach leveraging translation model to this benchmark. Our approach outperforms in the benchmark, which reaches 0.9320 as the precision score ranking the first place on the leaderboard.