Heterogeneous Graph Embedding Based on Graph Convolutional Neural Networks
碩士 === 國立政治大學 === 資訊科學系 === 108 === In recent years, information network embedding has become popular because the techniques enable to encode information into low-dimensions representation, even for a graph/network with multiple types of nodes and relations. In addition, graph neural network (GNN) h...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/222yfr |