Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

Author:

Akrami Farahnaz1,Saeef Mohammed Samiul1,Zhang Qingheng2,Hu Wei2,Li Chengkai1

Affiliation:

1. University of Texas at Arlington, Arlington, TX, USA

2. Nanjing University, Nanjing, China

Funder

National Science Foundation

Publisher

ACM

Cited by 59 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A joint knowledge representation learning of sentence vectors weighting and primary neighbor constraints;Knowledge and Information Systems;2024-07-16

2. Tracing the Impact of Bias in Link Prediction;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

3. Uncovering CWE-CVE-CPE Relations with Threat Knowledge Graphs;ACM Transactions on Privacy and Security;2024-02-05

4. Prior Bilinear-Based Models for Knowledge Graph Completion;Lecture Notes in Computer Science;2024

5. Towards Understanding the Impact of Graph Structure on Knowledge Graph Embeddings;Lecture Notes in Computer Science;2024

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