ExCut: Explainable Embedding-Based Clustering over Knowledge Graphs

Author:

Gad-Elrab Mohamed H.ORCID,Stepanova DariaORCID,Tran Trung-Kien,Adel HeikeORCID,Weikum Gerhard

Publisher

Springer International Publishing

Reference35 articles.

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3. Costabello, L., Pai, S., Van, C.L., McGrath, R., McCarthy, N., Tabacof, P.: AmpliGraph: a library for representation learning on knowledge graphs (2019)

4. Dumancic, S., Blockeel, H.: An expressive dissimilarity measure for relational clustering over neighbourhood trees. MLJ (2017)

5. Dumancic, S., García-Durán, A., Niepert, M.: On embeddings as an alternative paradigm for relational learning. CoRR arXiv:abs/1806.11391v2 (2018)

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1. Explaining answers generated by knowledge graph embeddings;International Journal of Approximate Reasoning;2024-08

2. Explainable AI for Mixed Data Clustering;Communications in Computer and Information Science;2024

3. Do Similar Entities Have Similar Embeddings?;Lecture Notes in Computer Science;2024

4. Bringing Back Semantics to Knowledge Graph Embeddings: An Interpretability Approach;Lecture Notes in Computer Science;2024

5. Comprehensible Artificial Intelligence on Knowledge Graphs: A survey;Journal of Web Semantics;2023-12

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