English(EN) WEECFP-SuRGE: Wide Embedded Extended Connectivity Fingerprint with Substructure Rotary Graph-distance Encoding

新的WEECFP-SuRGE架构在分子性质预测方面表现强劲

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 04:00

研究人员开发了WEECFP-SuRGE，这是一种新颖的Transformer架构，它利用独特的图距离编码方法来处理分子指纹。这种方法将子结构编码到向量中，并使用带有图距离的自注意力机制，在各种基准测试中表现出强劲的性能。WEECFP-SuRGE Blend在TDC ADMET排行榜上名列前茅，尤其在预测Pgp、亲脂性和CYP2D6底物等性质方面表现出色，并且在MoleculeNet回归任务上也显示出显著的改进。 AI

影响这项研究推进了图神经网络在分子性质预测方面的能力，有望加速药物发现和材料科学的发展。

排序理由该集群包含一篇详细介绍新架构及其在科学基准测试中性能的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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arXiv cs.LG TIER_1 English(EN) · Robert Epps · 2026-09-07 04:00

WEECFP-SuRGE：宽嵌入式扩展连接指纹与子结构旋转图距离编码

arXiv:2609.04672v1 Announce Type: new Abstract: We introduce WEECFP, a parameter-free 1024-dimensional continuous molecular fingerprint that scatters each Morgan substructure across roughly thirty-two signed positions of a single vector, and WEECFP-SuRGE, a transformer architectu…

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WEECFP-SuRGE：宽嵌入式扩展连接指纹与子结构旋转图距离编码

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