Explore knowledge graph completion from a practical perspective in this 43-minute conference talk by Danai Koutra at KDD. Dive into the construction, calibration, and evaluation of knowledge graphs in both closed and open world settings. Learn about use cases, human-AI collaboration, and the importance of benchmarks and hyperparameter tuning. Examine the task of link prediction, triple classification, and the comparison between Codex and Freebase. Discover rule-based models, summarization techniques, and inductive approaches. Gain insights into model-independent information and practical applications. Access related papers and the GitHub repository for further exploration.