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We show that using knowledge graph embeddings can increase the accuracy of effect prediction with neural networks. ... Finally, we evaluate certain characteristics of the knowledge graph embedding models to shed light on the individual model performance. ... McIl- ogy Matching co-located with the 18th International Semantic raith and K. Q. Weinberger, editors, Proceedings of the Thirty- 32 E. B. ...arXiv:2112.04605v1 fatcat:lq3rshsrgrfqvjui4fkdfocmju