Compact network embedding for fast node classification
Network embedding has shown promising performance in real-world applications. The network embedding typically lies in a continuous vector space, where storage and computation costs are high, especially in large-scale applications. This paper proposes more compact representation to fulfill the gap. T...
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Main Authors: | , , , , , |
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其他作者: | |
格式: | Article |
語言: | English |
出版: |
2023
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/172036 |
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機構: | Nanyang Technological University |
語言: | English |