Modeling Historical Relevant and Local Frequency Context for Representation-Based Temporal Knowledge Graph Forecasting
Shengzhe Zhang, Wei Wei, Rikui Huang, Wenfeng Xie, Dangyang Chen
- Anthology ID:
- 2024.findings-emnlp.451
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2024
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 7675–7686
- Language:
- URL:
- https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/2024.findings-emnlp.451/
- DOI:
- 10.18653/v1/2024.findings-emnlp.451
- Cite (ACL):
- Shengzhe Zhang, Wei Wei, Rikui Huang, Wenfeng Xie, and Dangyang Chen. 2024. Modeling Historical Relevant and Local Frequency Context for Representation-Based Temporal Knowledge Graph Forecasting. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 7675–7686, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- Modeling Historical Relevant and Local Frequency Context for Representation-Based Temporal Knowledge Graph Forecasting (Zhang et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/2024.findings-emnlp.451.pdf