P. Betz, C. Meilicke, H. Stuckenschmidt Adversarial explanations for knowledge graph embeddings In: IJCAI, 2022 (forthcoming)
P. Betz, C. Meilicke, H. Stuckenschmidt Supervised knowledge aggregation for knowledge graph completion In: ESWC, 2022
P. Betz, M. Niepert, P. Minervini, H. Stuckenschmidt Backpropagating through markov logic networks In: Proceedings of 15th International Workshop on Neural-Symbolic Learning and Reasoning, 2021
C. Meilicke, P. Betz, H. Stuckenschmidt Why a naive way to combine latent and symbolic knowledge base completion works surprisingly well In: 3rd Conference on Automated Knowledge Base Construction, 2021
S. Broscheit, D. Ruffinelli, A. Kochsiek, P. Betz, R. Gemulla LibKGE – A knowledge graph embedding library for reproducible research In: EMNLP (demo), 2020
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