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A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs

artículo científico

Active Learning for Entity Alignment ⬇️

An Open Challenge for Inductive Link Prediction on Knowledge Graphs

preprint published on 04 March 2022

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

preprint published on 25 June 2020 that uses PyKEEN for large-scale reproduction and benchmarking

Improving Inductive Link Prediction Using Hyper-relational Facts

artículo científico publicado en 2021

Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

Prediction and Understanding of Soft-proton Contamination in XMM-Newton: A Machine Learning Approach

artículo científico publicado en 2020

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings ⬇️

artículo científico publicado en 2021

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