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Chengjin Xu
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2020 – today
- 2024
- [c25]Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang:
Unlocking the Power of Large Language Models for Entity Alignment. ACL (1) 2024: 7566-7583 - [c24]Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Huang Zihe, Jian Guo, Yuanzhuo Wang:
MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment. EMNLP (Findings) 2024: 2637-2654 - [c23]Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel M. Ni, Heung-Yeung Shum, Jian Guo:
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph. ICLR 2024 - [c22]Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong:
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. NAACL-HLT 2024: 1152-1197 - [c21]Xuhui Jiang
, Chengjin Xu
Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. WWW 2024: 2325-2336 - [i27]Xuhui Jiang, Yuxing Tian, Fengrui Hua, Chengjin Xu, Yuanzhuo Wang, Jian Guo:
A Survey on Large Language Model Hallucination via a Creativity Perspective. CoRR abs/2402.06647 (2024) - [i26]Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang:
Unlocking the Power of Large Language Models for Entity Alignment. CoRR abs/2402.15048 (2024) - [i25]Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong:
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. CoRR abs/2403.11838 (2024) - [i24]Chengjin Xu, Muzhi Li, Cehao Yang, Xuhui Jiang, Lumingyuan Tang, Yiyan Qi, Jian Guo:
Context Graph. CoRR abs/2406.11160 (2024) - [i23]Cehao Yang, Chengjin Xu, Yiyan Qi:
Financial Knowledge Large Language Model. CoRR abs/2407.00365 (2024) - [i22]Shengjie Ma, Chengjin Xu, Xuhui Jiang, Muzhi Li, Huaren Qu, Jian Guo:
Think-on-Graph 2.0: Deep and Interpretable Large Language Model Reasoning with Knowledge Graph-guided Retrieval. CoRR abs/2407.10805 (2024) - [i21]Zhanpeng Chen, Chengjin Xu, Yiyan Qi, Jian Guo:
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training. CoRR abs/2407.21439 (2024) - [i20]Zhengzhuo Xu, Bowen Qu, Yiyan Qi, Sinan Du, Chengjin Xu, Chun Yuan, Jian Guo:
ChartMoE: Mixture of Expert Connector for Advanced Chart Understanding. CoRR abs/2409.03277 (2024) - [i19]Muzhi Li, Cehao Yang, Chengjin Xu, Zixing Song, Xuhui Jiang, Jian Guo, Ho-fung Leung, Irwin King:
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning. CoRR abs/2410.16803 (2024) - [i18]Zhongwu Chen, Chengjin Xu, Dingmin Wang, Zhen Huang, Yong Dou, Jian Guo:
RuleRAG: Rule-guided retrieval-augmented generation with language models for question answering. CoRR abs/2410.22353 (2024) - 2023
- [b1]Chengjin Xu:
Temporal Knowledge Graph Embedding and Reasoning. University of Bonn, Germany, 2023 - [j4]Fenglong Su
Neural entity alignment with cross-modal supervision. Inf. Process. Manag. 60(2): 103174 (2023) - [j3]Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Chengjin Xu, Huawei Shen, Xueqi Cheng:
UniSKGRep: A unified representation learning framework of social network and knowledge graph. Neural Networks 158: 142-153 (2023) - [j2]Mojtaba Nayyeri
LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7050-7062 (2023) - [j1]Chengjin Xu
Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35(5): 4838-4851 (2023) - [c20]Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Huawei Shen, Chengjin Xu, Shengjie Ma:
Meta-Path Based Social Relation Reasoning in a Deep and Robust Way. DASFAA (3) 2023: 3-20 - [c19]Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su:
Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. ECAI 2023: 2784-2791 - [c18]Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou:
Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning. EMNLP (Findings) 2023: 6736-6746 - [c17]Baogui Xu
Cross-Modal Graph Attention Network for Entity Alignment. ACM Multimedia 2023: 3715-3723 - [c16]Xueyuan Lin, Haihong E, Chengjin Xu, Gengxian Zhou, Haoran Luo, Tianyi Hu, Fenglong Su, Ningyuan Li, Mingzhi Sun:
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph. NeurIPS 2023 - [c15]Bowen Song, Chengjin Xu, Kossi Amouzouvi, Maocai Wang, Jens Lehmann, Sahar Vahdati:
Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs. ECML/PKDD (3) 2023: 601-616 - [c14]Zhongwu Chen
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction. SIGIR 2023: 889-899 - [c13]Zhongwu Chen
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph. WWW 2023: 2433-2443 - [i17]Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, You Dou:
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph. CoRR abs/2302.05640 (2023) - [i16]Xuhui Jiang, Chengjin Xu, Yinghan Shen, Fenglong Su, Yuanzhuo Wang, Fei Sun, Zixuan Li, Huawei Shen:
Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method. CoRR abs/2304.03468 (2023) - [i15]Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou:
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction. CoRR abs/2304.04717 (2023) - [i14]Haohan Zhang, Fengrui Hua, Chengjin Xu, Jian Guo, Hao Kong, Ruiting Zuo:
Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements? CoRR abs/2306.14222 (2023) - [i13]Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, Jian Guo:
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. CoRR abs/2307.07697 (2023) - [i12]Xuhui Jiang, Chengjin Xu, Yinghan Shen, Xun Sun, Lumingyuan Tang, Saizhuo Wang, Zhongwu Chen, Yuanzhuo Wang, Jian Guo:
On the Evolution of Knowledge Graphs: A Survey and Perspective. CoRR abs/2310.04835 (2023) - [i11]Zhengzhuo Xu, Sinan Du, Yiyan Qi, Chengjin Xu, Chun Yuan, Jian Guo:
ChartBench: A Benchmark for Complex Visual Reasoning in Charts. CoRR abs/2312.15915 (2023) - 2022
- [c12]Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab:
Ultrahyperbolic Knowledge Graph Embeddings. KDD 2022: 2130-2139 - [c11]Chengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann:
Time-aware Entity Alignment using Temporal Relational Attention. WWW 2022: 788-797 - [i10]Chengjin Xu, Fenglong Su, Jens Lehmann:
Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs. CoRR abs/2203.02150 (2022) - [i9]Xueyuan Lin, Chengjin Xu, Haihong E, Fenglong Su, Gengxian Zhou, Tianyi Hu, Ningyuan Li, Mingzhi Sun, Haoran Luo:
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph. CoRR abs/2205.14307 (2022) - [i8]Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab:
Ultrahyperbolic Knowledge Graph Embeddings. CoRR abs/2206.00449 (2022) - 2021
- [c10]Chengjin Xu, Fenglong Su, Jens Lehmann:
Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs. EMNLP (1) 2021: 8999-9010 - [c9]Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati:
Knowledge Graph Representation Learning using Ordinary Differential Equations. EMNLP (1) 2021: 9529-9548 - [c8]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. IJCNN 2021: 1-8 - [c7]Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann:
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings. NAACL-HLT 2021: 2569-2578 - [c6]Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. PAKDD (3) 2021: 77-89 - [i7]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings. CoRR abs/2104.05003 (2021) - 2020
- [c5]Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann:
Knowledge Graph Embeddings in Geometric Algebras. COLING 2020: 530-544 - [c4]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. COLING 2020: 1583-1593 - [c3]Mirza Mohtashim Alam, Mojtaba Nayyeri, Chengjin Xu, Md. Rashad Al Hasan Rony, Hamed Shariat Yazdi, Afshin Sadeghi, Jens Lehmann:
The Effect of Rule Injectionin a Leakage Free Dataset. KR4L@ECAI 2020: 28-35 - [c2]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings. KR4L@ECAI 2020: 36-42 - [c1]Mojtaba Nayyeri, Chengjin Xu, Sahar Vahdati, Nadezhda Vassilyeva, Emanuel Sallinger, Hamed Shariat Yazdi, Jens Lehmann:
Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them. ISWC (1) 2020: 438-455 - [i6]Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann:
Knowledge Graph Embeddings in Geometric Algebras. CoRR abs/2010.00989 (2020) - [i5]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. CoRR abs/2010.01029 (2020) - [i4]Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Sahar Vahdati:
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations. CoRR abs/2010.06684 (2020)
2010 – 2019
- 2019
- [i3]Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Hamed Shariat Yazdi:
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules. CoRR abs/1908.07141 (2019) - [i2]Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Hamed Shariat Yazdi, Jens Lehmann:
On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score. CoRR abs/1909.00519 (2019) - [i1]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, Hamed Shariat Yazdi:
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. CoRR abs/1911.07893 (2019)
Coauthor Index
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