ZINC 250K data sets

Figshare2021-12-06 更新2026-04-28 收录

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分子生成模型

数据链接：

https://figshare.com/articles/dataset/ZINC_250K_data_sets/17122427 数据链接链接失效反馈

官方服务：

资源简介：

The standardised ZINC 250K data sets from publication "HyFactor: Hydrogen-count labelled graph-based defactorization Autoencoder".

创建时间：

2021-12-06

Graph Representation Learning Techniques for the Combat against Online Abusive Activity

在线滥用行为检测

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With the growing prevalence of the Internet, abusive behaviors on online platforms have surged in recent decades. These online abusers take advantage of the popularity and conveniences of online platf

DataCite Commons2024-11-11 更新90

Table_2_Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network.XLSX

微生物-疾病关联

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More and more clinical observations have implied that microbes have great effects on human diseases. Understanding the relations between microbes and diseases are of profound significance for disease

NIAID Data Ecosystem50

Additional file 3 of On the difficulty of validating molecular generative models realistically: a case study on public and proprietary data

分子生成模型

药物靶点CDK2

Additional file 3. Supporting_Dataset_3_CDK2.xlsx.

Figshare2024-08-14 更新30

Negative Sampling for Learning Knowledge Graph Embeddings

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链接预测优化

Reimplementation of four KG factorization methods and six negative sampling methods. Abstract Knowledge graphs are large, useful, but i

DataCite Commons2025-01-28 更新80

Additional file 1 of On the difficulty of validating molecular generative models realistically: a case study on public and proprietary data