Learning feature representation for graphs
This FYP aimed to implement and experiment novel frameworks to learn the feature representations for graphs. In order to be used for downstream tasks, numerous algorithms require the input graphs to be represented as fixed-length feature vectors. Graph2vec developed in 2017 was reported to achieve s...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/10356/77558 |