HittER: Hierarchical Transformers for Knowledge Graph Embeddings-Reference-Cited by-同舟云学术

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HittER: Hierarchical Transformers for Knowledge Graph Embeddings

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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Author:

Chen Sanxing,Liu Xiaodong,Gao Jianfeng,Jiao Jian,Zhang Ruofei,Ji Yangfeng

Publisher

Association for Computational Linguistics

Cited by 37 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. LPFormer: An Adaptive Graph Transformer for Link Prediction;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-08

3. Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. A Transformer-based Knowledge Graph Embedding Model Combining Graph Paths and Local Neighborhood;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

5. Automatic Open Wikidata Information Extraction from Indonesian Text;2024-06-13

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