Chengjin Xu

According to our database, Chengjin Xu authored at least 39 papers between 2019 and 2024.

Collaborative distances:

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

2024

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models.

Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong

CoRR, 2024

Unlocking the Power of Large Language Models for Entity Alignment.

Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang

CoRR, 2024

A Survey on Large Language Model Hallucination via a Creativity Perspective.

Xuhui Jiang, Yuxing Tian, Fengrui Hua, Chengjin Xu, Yuanzhuo Wang, Jian Guo

CoRR, 2024

2023

LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules.

Mojtaba Nayyeri, Chengjin Xu, Mirza Mohtashim Alam, Jens Lehmann, Hamed Shariat Yazdi

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion.

Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann

IEEE Trans. Knowl. Data Eng., May, 2023

UniSKGRep: A unified representation learning framework of social network and knowledge graph.

Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Chengjin Xu, Huawei Shen, Xueqi Cheng

Neural Networks, January, 2023

Temporal Knowledge Graph Embedding and Reasoning

Chengjin Xu

PhD thesis, 2023

Neural entity alignment with cross-modal supervision.

Fenglong Su, Chengjin Xu, Han Yang, Zhongwu Chen, Ning Jing

Inf. Process. Manag., 2023

ChartBench: A Benchmark for Complex Visual Reasoning in Charts.

Zhengzhuo Xu, Sinan Du, Yiyan Qi, Chengjin Xu, Chun Yuan, Jian Guo

CoRR, 2023

On the Evolution of Knowledge Graphs: A Survey and Perspective.

Xuhui Jiang, Chengjin Xu, Yinghan Shen, Xun Sun, Lumingyuan Tang, Saizhuo Wang, Zhongwu Chen, Yuanzhuo Wang, Jian Guo

CoRR, 2023

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph.

Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, Jian Guo

CoRR, 2023

Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?

Haohan Zhang, Fengrui Hua, Chengjin Xu, Jian Guo, Hao Kong, Ruiting Zuo

CoRR, 2023

Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method.

Xuhui Jiang, Chengjin Xu, Yinghan Shen, Fenglong Su, Yuanzhuo Wang, Fei Sun, Zixuan Li, Huawei Shen

CoRR, 2023

Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph.

Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, You Dou

CoRR, 2023

Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph.

Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou

Proceedings of the ACM Web Conference 2023, 2023

Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction.

Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs.

Bowen Song, Chengjin Xu, Kossi Amouzouvi, Maocai Wang, Jens Lehmann, Sahar Vahdati

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

TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph.

Xueyuan Lin, Haihong E, Chengjin Xu, Gengxian Zhou, Haoran Luo, Tianyi Hu, Fenglong Su, Ningyuan Li, Mingzhi Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cross-Modal Graph Attention Network for Entity Alignment.

Baogui Xu, Chengjin Xu, Bing Su

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning.

Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning.

Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Meta-Path Based Social Relation Reasoning in a Deep and Robust Way.

Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Huawei Shen, Chengjin Xu, Shengjie Ma

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs.

Chengjin Xu, Fenglong Su, Jens Lehmann

CoRR, 2022

Time-aware Entity Alignment using Temporal Relational Attention.

Chengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Ultrahyperbolic Knowledge Graph Embeddings.

Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings.

Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann

CoRR, 2021

Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models.

Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Sahar Vahdati, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings.

Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs.

Chengjin Xu, Fenglong Su, Jens Lehmann

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Knowledge Graph Representation Learning using Ordinary Differential Equations.

Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations.

Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Sahar Vahdati

CoRR, 2020

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them.

Mojtaba Nayyeri, Chengjin Xu, Sahar Vahdati, Nadezhda Vassilyeva, Emanuel Sallinger, Hamed Shariat Yazdi, Jens Lehmann

Proceedings of the Semantic Web - ISWC 2020, 2020

Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings.

Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann

Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

The Effect of Rule Injectionin a Leakage Free Dataset.

Mirza Mohtashim Alam, Mojtaba Nayyeri, Chengjin Xu, Md. Rashad Al Hasan Rony, Hamed Shariat Yazdi, Afshin Sadeghi, Jens Lehmann

Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Knowledge Graph Embeddings in Geometric Algebras.

Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann

Proceedings of the 28th International Conference on Computational Linguistics, 2020

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation.

Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition.

Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, Hamed Shariat Yazdi

CoRR, 2019

On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score.

Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Hamed Shariat Yazdi, Jens Lehmann

CoRR, 2019

LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules.

Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Hamed Shariat Yazdi

CoRR, 2019