Nicholas Halliwell
According to our database1,
Nicholas Halliwell authored at least 9 papers
between 2020 and 2022.
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Bibliography
2022
Evaluating and improving explanation quality of graph neural network link prediction on knowledge graphs. (Évaluation et amélioration de la qualité d'explication de la prédiction des liens par réseau neuronal sur les graphes de connaissances).
PhD thesis, 2022
Impact of Injecting Ground Truth Explanations on Relational Graph Convolutional Networks and their Explanation Methods for Link Prediction on Knowledge Graphs.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022
Evaluation d'explications pour la prédiction de liens dans les graphes de connaissances par des réseaux convolutifs.
Proceedings of the IC 2022 : 33es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 33rd French Knowledge Engineering Conference), Saint-Etienne, France, June 29, 2022
A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Linked Data Ground Truth for Quantitative and Qualitative Evaluation of Explanations for Relational Graph Convolutional Network Link Prediction on Knowledge Graphs.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021
A Simplified Benchmark for Non-ambiguous Explanations of Knowledge Graph Link Prediction using Relational Graph Convolutional Networks.
Proceedings of the ISWC 2021 Posters, 2021
User Scored Evaluation of Non-Unique Explanations for Relational Graph Convolutional Network Link Prediction on Knowledge Graphs.
Proceedings of the K-CAP '21: Knowledge Capture Conference, 2021
2020
CoRR, 2020