Studies from University of Science and Technology China in the Area of Knowledge and Data Engineering Reported (Mg2vec: Learning Relationship-preserving Heterogeneous Graph Representations Via Metagraph Embedding)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Engineering - Knowledge and Data Engineering have been published. According to news originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “Given that heterogeneous information networks (HIN) encompass nodes and edges belonging to different semantic types, they can model complex data in real-world scenarios. Thus, HIN embedding has received increasing attention, which aims to learn node representations in a low-dimensional space, in order to preserve the structural and semantic information on the HIN.”