Daniel0315/CitationHub

CitationHub是一个大规模学术引用数据集，专为引用分析、引用意图建模、学术知识图谱构建以及为AI合作科学家系统提供基于证据的假设生成而设计。该数据集包含引用论文与高被引种子论文之间的引用事件，并丰富了引用意图标签、引用上下文、领域信息、期刊元数据、作者和机构信息以及异质知识图谱节点和边。数据集旨在支持以下研究：引用意图分析、科学影响建模、未来引用预测、学术知识图谱补全、意图感知的引用推荐、基于证据的假设生成以及用于科学发现的AI合作科学家系统。CitationHub is a large-scale scholarly citation dataset designed for citation analysis, citation intent modeling, scholarly knowledge graph construction, and evidence-grounded hypothesis generation for AI co-scientist systems. The dataset contains citation events between citing papers and highly cited seed papers, enriched with citation intent labels, citation contexts, field information, journal metadata, author and affiliation information, and heterogeneous knowledge graph nodes and edges. The dataset is intended to support research on: citation intent analysis, scientific impact modeling, future citation prediction, scholarly knowledge graph completion, intent-aware citation recommendation, evidence-grounded hypothesis generation, and AI co-scientist systems for scientific discovery.