Topic-aware heterogeneous graph neural network for link prediction
Heterogeneous graphs (HGs), consisting of multiple types of nodes and links, can characterize a variety of real-world complex systems. Recently, heterogeneous graph neural networks (HGNNs), as a powerful graph embedding method to aggregate heterogeneous structure and attribute information, has earne...
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Main Authors: | XU, Siyong, YANG, Cheng, FANG, Yuan, TIANCHI, Yang, ZHANG, Luhao |
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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/6805 https://ink.library.smu.edu.sg/context/sis_research/article/7808/viewcontent/123.pdf |
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Institution: | Singapore Management University |
Language: | English |
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