@inproceedings{zhang-etal-2024-modeling-historical,
title = "Modeling Historical Relevant and Local Frequency Context for Representation-Based Temporal Knowledge Graph Forecasting",
author = "Zhang, Shengzhe and
Wei, Wei and
Huang, Rikui and
Xie, Wenfeng and
Chen, Dangyang",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-emnlp.451",
pages = "7675--7686",
}
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%0 Conference Proceedings
%T Modeling Historical Relevant and Local Frequency Context for Representation-Based Temporal Knowledge Graph Forecasting
%A Zhang, Shengzhe
%A Wei, Wei
%A Huang, Rikui
%A Xie, Wenfeng
%A Chen, Dangyang
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F zhang-etal-2024-modeling-historical
%U https://aclanthology.org/2024.findings-emnlp.451
%P 7675-7686
Markdown (Informal)
[Modeling Historical Relevant and Local Frequency Context for Representation-Based Temporal Knowledge Graph Forecasting](https://aclanthology.org/2024.findings-emnlp.451) (Zhang et al., Findings 2024)
ACL