在双曲空间中嵌入时态异构信息网络的 H2TNE 算法（英文版）

英文标题：H2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces中文摘要：提出了一种基于双重随机游走策略和超伽马空间距离的超伽马异构时间网络嵌入模型，能够保留结构和语义信息，对于时间上的链接预测和节点分类取得了优秀的表现。英文摘要：Temporal heterogeneous information network (temporal HIN) embedding, aimingto represent various types of nodes of different timestamps into lowdimensional spaces while preserving structural and semantic information, is ofvital importance in diverse real-life tasks. Researchers have made greatefforts on temporal HIN embedding in