3D图形对比学习用于分子性质预测

Kisung Moon1, Hyeon-Jin Im1, Sunyoung Kwon1,2,3

  • 1Department of Information Convergence Engineering, Pusan National University, Yangsan 50612, Korea.

概括

我们开发了一个小规模的3D图形对比学习 (3DGCL) 框架用于分子性质预测. 这种方法有效地利用3D结构信息,即使使用有限的计算资源,也可以实现最先进的结果.

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