Metagraph-based learning on heterogeneous graphs
Data in the form of graphs are prevalent, ranging from biological and social networks to citation graphs and the Web. Inparticular, most real-world graphs are heterogeneous, containing objects of multiple types, which present new opportunities for manyproblems on graphs. Consider a typical proximity...
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Main Authors: | FANG, Yuan, LIN, Wenqing, ZHENG, Vincent W., WU, Min, SHI, Jiaqi, CHANG, Kevin, LI, Xiao-Li |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
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Online Access: | https://ink.library.smu.edu.sg/sis_research/4726 https://ink.library.smu.edu.sg/context/sis_research/article/5729/viewcontent/TKDE19_MG.pdf |
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Institution: | Singapore Management University |
Language: | English |
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