Graph Machine Learning Dataset AIFB (AIFB-GML)

AIFB-GML is a comprehensive, heterogeneous graph machine learning dataset derived from the AIFB RDF knowledge graph. This dataset integrates a variety of node types, including individuals (:person), research groups (:group), and scholarly publications (:publication). Developed using the innovative AutoRDF2GML framework, AIFB-GML is specifically formatted to facilitate graph-based tasks such as node classification and link prediction.AIFB-GML是一款源自AIFB RDF知识图谱（Resource Description Framework）的综合性异构图机器学习数据集。该数据集涵盖多种节点类型，包括个体（:person）、研究群组（:group）与学术出版物（:publication）。 AIFB-GML依托创新性AutoRDF2GML框架开发，经过专门格式化设计，可支持节点分类、链路预测等图学习任务的实施。