Towards effective graph representations by leveraging geometric concepts
The field of graph representation learning (GRL) is dedicated to the task of encoding graph-structured data into low-dimensional vectors, often referred to as embeddings. Obtaining effective representations for various graph-related tasks, such as node classification and link prediction, hinges on e...
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| Format: | Thesis-Doctor of Philosophy |
| Jezik: | English |
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Nanyang Technological University
2024
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| Online pristup: | https://hdl.handle.net/10356/177895 |