| human | Q5 |
| P2456 | DBLP author ID | 234/2738 |
| P496 | ORCID iD | 0000-0001-9724-4009 |
| P108 | employer | Ludwig-Maximilians-Universität München Japan Zentrum | Q101378024 |
| P735 | given name | Max | Q16422172 |
| Max | Q16422172 | ||
| P106 | occupation | researcher | Q1650915 |
| P21 | sex or gender | male | Q6581097 |
| Q111337218 | A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs |
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| Q111102996 | An Open Challenge for Inductive Link Prediction on Knowledge Graphs |
| Q96631308 | Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework |
| Q125399337 | Improving Inductive Link Prediction Using Hyper-relational Facts |
| Q109583838 | Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods |
| Q108904477 | Prediction and Understanding of Soft-proton Contamination in XMM-Newton: A Machine Learning Approach |
| Q109583780 | PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings |
| Q106507357 | 2nd International Workshop on New Trends in Representation Learning with Knowledge Graphs | has program committee member | P5804 |
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