Graph attention networks and approximate personalized propagation of neural prediction models for unsupervised graph representation learning
Recent years have brought progress in the graph machine learning space, with the unsupervised graph representation learning field gaining traction due to the immense resources required to label graph data. A leading approach in the field, Deep Graph InfoMax, has been shown to provide good perform...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/156556 |