Homophily, Structure, and Content Augmented Network Representation Learning
By Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang. 2016
104 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics
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Citations in the corpus
- MGAE: Marginalized Graph Autoencoder for Graph Clustering (2017, background): “Graph or network analytics has been a long-standing research topic in machine learning [13, 22–24, 26, 33, 35, 40].”
- Heterogeneous Information Network Embedding for Recommendation (2017, background): “Besides leaning network embedding from only the topology, there are alsomanyworks [51], [52], [53] leveraging node content information and other available graph information for the robust representations.”