Accelerating large-scale heterogeneous interaction graph embedding learning via importance sampling
In real-world problems, heterogeneous entities are often related to each other through multiple interactions, forming a Heterogeneous Interaction Graph (HIG in short). While modeling HIGs to deal with fundamental tasks, graph neural networks present an attractive opportunity that can make full use o...
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Main Authors: | , , , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/5879 https://ink.library.smu.edu.sg/context/sis_research/article/6890/viewcontent/Accelerating_large_scale_pvoa.pdf |
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Institution: | Singapore Management University |
Language: | English |