Relational graph convolutional networks do not learn sound rules
Graph neural networks (GNNs) are frequently used to predict missing facts in knowledge graphs (KGs). Motivated by the lack of explainability for the outputs of these models, recent work has aimed to explain their predictions using Datalog, a widely used logic-based formalism. However, such work has...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Principles of Knowledge Representation and Reasoning
2024
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