Heterogeneous Graph Representation Learning and Applications

Introduction.- The State-of-the-art of Heterogeneous Graph Representation.- Part One: Techniques.- Structure-preserved Heterogeneous Graph Representation.- Attribute-assisted Heterogeneous Graph Representation.- Dynamic Heterogeneous Graph Representation.- Supplementary of Heterogeneous Graph Representation.- Part Two: Applications.- Heterogeneous Graph Representation for Recommendation.- Heterogeneous Graph Representation for Text Mining.- Heterogeneous Graph Representation for Industry Application.- Future Research Directions.- Conclusion.

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Heterogeneous graph;heterogeneous information network;social network analysis;network embedding;network represenation;data mining;machine learning;graph neural network;deep neural network;attention mechnism