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COMBINING AND COMPARING HIERARCHICAL ATTENTION AND COMPOSITION-BASED GNNS FOR KNOWLEDGE GRAPH COMPLETION
(Πανεπιστήμιο Πελοποννήσου, 2024-07-18)
Graph Convolutional Networks (GCNs) have enabled the application of deep learning methods to large graphs. These models create an embedding representation for each node in the graph, and we train the model on these embeddings. ...