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Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank.

, , , and . CoRR, (2020)

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Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned., , , , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 3-11. Springer, (2020)A Comparison of Ambulance Redeployment Systems on Real-World Data., , , and . ICDM (Workshops), page 1-8. IEEE, (2022)Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned., , , , and . CoRR, (2019)Improving Visual Relation Detection using Depth Maps., , , , and . ICPR, page 3597-3604. IEEE, (2020)Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework., , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (12): 8825-8845 (2022)k-Distance Approximation for Memory-Efficient RkNN Retrieval., , and . SISAP, volume 11807 of Lecture Notes in Computer Science, page 57-71. Springer, (2019)Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods., , , and . WI/IAT, page 371-374. IEEE, (2020)PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings., , , , , , and . CoRR, (2020)Unsupervised Anomaly Detection for X-Ray Images., , , , , , , and . CoRR, (2020)Improving Visual Relation Detection using Depth Maps., , and . CoRR, (2019)