Learning feature representation for subgraphs
Graphs are a rich and versatile data structure. They are widely used in representing data like social networks, chemical compound, protein structures. Analytical tasks against graph data attracted great attention in many domains. Effective graph analytics provides users deep insights of the data. Ho...
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| Format: | Final Year Project (FYP) |
| Jezik: | English |
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2018
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| Online dostop: | http://hdl.handle.net/10356/75535 |