Jingpei Wu

According to our database, Jingpei Wu authored at least 7 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models.

Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp

CoRR, 2023

Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge.

Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Volker Tresp

CoRR, 2023

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs.

Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu, Bailan He, Yunpu Ma, Zhao Meng, Shuo Chen, Ruotong Liao, Zhen Han, Volker Tresp

Proceedings of the Semantic Web - ISWC 2023, 2023

Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning.

Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction.

Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, Volker Tresp

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Forecasting Question Answering over Temporal Knowledge Graphs.

Zifeng Ding, Ruoxia Qi, Zongyue Li, Bailan He, Jingpei Wu, Yunpu Ma, Zhao Meng, Zhen Han, Volker Tresp

CoRR, 2022

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information.

Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022