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Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal
  Knowledge Graph Reasoning

Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning

25 March 2024
Miao Peng
Ben Liu
Wenjie Xu
Zihao Jiang
Jiahui Zhu
Min Peng
ArXivPDFHTML

Papers citing "Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning"

4 / 4 papers shown
Title
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
804
0
14 Oct 2021
BiQUE: Biquaternionic Embeddings of Knowledge Graphs
BiQUE: Biquaternionic Embeddings of Knowledge Graphs
Jia Guo
Stanley Kok
57
29
0
29 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 2021
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Alberto García-Durán
Sebastijan Dumancic
Mathias Niepert
187
395
0
10 Sep 2018
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