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RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network

  • Published:2021-04-19 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the Web Conference 2021
  • language:
  • Short-container-title:

Author:

Bastos Anson1,Nadgeri Abhishek2,Singh Kuldeep3,Mulang Isaiah Onando4,Shekarpour Saeedeh5,Hoffart Johannes6,Kaul Manohar7

Affiliation:

1. Indian Institute of Technology, Hyderabad and Zerotha Research, India

2. Zerotha Research and RWTH Aachen, Germany

3. Zerotha Research and Cerence GmbH, Germany

4. Zerotha Research and Fraunhofer IAIS, Germany

5. University of Dayton, USA

6. Goldman Sachs, Germany

7. Indian Institute of Technology, Hyderabad, India

Publisher

ACM

Cited by 47 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. Hierarchical visual semantic guidance for enhanced relationship recognition in domain knowledge graphs;Engineering Applications of Artificial Intelligence;2024-11

2. MITREtrieval: Retrieving MITRE Techniques From Unstructured Threat Reports by Fusion of Deep Learning and Ontology;IEEE Transactions on Network and Service Management;2024-08

3. Clarified Aggregation and Predictive Modeling (CAPM): High-Interpretability Framework for Inductive Link Prediction;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Knowledge Enabled Relation Extraction;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

5. Wiki-based Prompts for Enhancing Relation Extraction using Language Models;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08
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