Browsing Theses and Dissertations by Subject "graph neural networks"
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Learning centrality measures with graph neural networks
(2019) [Dissertation]Centrality Measures are important metrics used in Social Network Analysis. Such measures allow one to infer which entity in a network is more central (informally, more important) than another. Analyses based on centrality ... -
Solving the decision version of the Graph Coloring Problem : a neural-symbolic approach using graph neural networks
(2020) [Dissertation]Deep learning (DL) has consistently pushed the state-of-the-art in many fields over the last years. Still there is, however, a lack of understanding on how symbolic and relational problems can benefit from DL architectures. ...