论文标题
pyrdf2vec：RDF2VEC的Python实现和扩展
pyRDF2Vec: A Python Implementation and Extension of RDF2Vec
论文作者
论文摘要
本文介绍了Pyrdf2Vec，这是一个Python软件包，该软件包可以重新实现众所周知的RDF2VEC算法以及其几个扩展名。通过使最受欢迎的数据科学语言中的算法可用，并将所有扩展捆绑到一个地方，可以简化RDF2VEC的使用，用于数据科学家。该软件包是根据MIT许可发布的，并以这种方式结构，以促进对采样，步行和嵌入策略的进一步研究，这些策略是RDF2VEC算法的重要组成部分。在\ texttt {pyrdf2vec}中实现了几种优化，这些优化允许比原始算法更有效地提取步行提取。此外，应用代码样式，测试和文档方面的最佳实践，使得该包装是防前的，并且可以促进外部贡献。
This paper introduces pyRDF2Vec, a Python software package that reimplements the well-known RDF2Vec algorithm along with several of its extensions. By making the algorithm available in the most popular data science language, and by bundling all extensions into a single place, the use of RDF2Vec is simplified for data scientists. The package is released under a MIT license and structured in such a way to foster further research into sampling, walking, and embedding strategies, which are vital components of the RDF2Vec algorithm. Several optimisations have been implemented in \texttt{pyRDF2Vec} that allow for more efficient walk extraction than the original algorithm. Furthermore, best practices in terms of code styling, testing, and documentation were applied such that the package is future-proof as well as to facilitate external contributions.
