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2020 – today
- 2023
[j56]Zezhong Xu
, Peng Ye, Juan Li, Huajun Chen, Wen Zhang:
Differentiable learning of rules with constants in knowledge graph. Knowl. Based Syst. 275: 110686 (2023)- [j55]Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Jeff Z. Pan, Yuan He, Wen Zhang, Ian Horrocks, Huajun Chen:
Zero-Shot and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey. Proc. IEEE 111(6): 653-685 (2023) - [j54]Shumin Deng, Jiacheng Yang, Hongbin Ye, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen, Ningyu Zhang:
LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2124-2133 (2023) - [j53]Yuxia Geng, Jiaoyan Chen, Xiang Zhuang, Zhuo Chen, Jeff Z. Pan, Juan Li, Zonggang Yuan, Huajun Chen:
Benchmarking knowledge-driven zero-shot learning. J. Web Semant. 75: 100757 (2023) - [c196]Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Huajun Chen:
DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning. AAAI 2023: 405-413 - [c195]Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen:
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding. AAAI 2023: 4182-4190 - [c194]Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen:
Analogical Inference Enhanced Knowledge Graph Embedding. AAAI 2023: 4801-4808 - [c193]Siyuan Cheng, Xiaozhuan Liang, Zhen Bi, Huajun Chen, Ningyu Zhang:
Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract). AAAI 2023: 16190-16191 - [c192]Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang:
On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract). AAAI 2023: 16254-16255 - [c191]Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen:
Reasoning with Language Model Prompting: A Survey. ACL (1) 2023: 5368-5393 - [c190]Ming Qin, Keyan Ding, Bin Wu, Zhenping Li, Haihong Yang, Zeyuan Wang, Hongbin Ye, Haoran Yu, Huajun Chen, Qiang Zhang:
Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution. ECAI 2023: 1914-1921 - [c189]Yuxia Geng, Jiaoyan Chen, Jeff Z. Pan, Mingyang Chen, Song Jiang, Wen Zhang, Huajun Chen:
Relational Message Passing for Fully Inductive Knowledge Graph Completion. ICDE 2023: 1221-1233 - [c188]Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen:
Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph. ICDE 2023: 2988-3002 - [c187]Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Mingyi Chen, Zhaoyang Lian, Yingying Li, Lei Cheng, Huajun Chen:
Tele-Knowledge Pre-training for Fault Analysis. ICDE 2023: 3453-3466 - [c186]Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen:
Multimodal Analogical Reasoning over Knowledge Graphs. ICLR 2023 - [c185]Zeyuan Wang, Qiang Zhang, Shuangwei Hu, Haoran Yu, Xurui Jin, Zhichen Gong, Huajun Chen:
Multi-level Protein Structure Pre-training via Prompt Learning. ICLR 2023 - [c184]Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen:
Graph Sampling-based Meta-Learning for Molecular Property Prediction. IJCAI 2023: 4729-4737 - [c183]Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen:
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. IJCAI 2023: 5030-5038 - [c182]Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, Huajun Chen:
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs. IJCAI 2023: 6574-6582 - [c181]Zhuo Chen, Jiaoyan Chen, Wen Zhang, Lingbing Guo, Yin Fang, Yufeng Huang, Yichi Zhang, Yuxia Geng, Jeff Z. Pan, Wenting Song, Huajun Chen:
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid. ACM Multimedia 2023: 3317-3327 - [c180]Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Jeff Z. Pan, Yangning Li, Huajun Chen, Wen Zhang:
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment. ISWC 2023: 121-139 - [c179]Long Jin, Zhen Yao, Mingyang Chen, Huajun Chen, Wen Zhang:
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning. ISWC 2023: 290-308 - [c178]Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen:
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. SIGIR 2023: 911-921 - [c177]Wen Zhang, Zhen Yao, Mingyang Chen, Zhiwei Huang, Huajun Chen:
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning. SIGIR 2023: 3140-3144 - [c176]Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, Huajun Chen:
Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer. WWW 2023: 2581-2590 - [i123]Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen:
Analogical Inference Enhanced Knowledge Graph Embedding. CoRR abs/2301.00982 (2023) - [i122]Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Zelin Dai, Feiyu Xiong, Wei Guo, Huajun Chen:
Editing Language Model-based Knowledge Graph Embeddings. CoRR abs/2301.10405 (2023) - [i121]Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen:
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. CoRR abs/2301.10410 (2023) - [i120]Yin Fang, Ningyu Zhang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Domain-Agnostic Molecular Generation with Self-feedback. CoRR abs/2301.11259 (2023) - [i119]Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen:
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding. CoRR abs/2302.01849 (2023) - [i118]Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, Huajun Chen:
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs. CoRR abs/2302.01859 (2023) - [i117]Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, Huajun Chen:
Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer. CoRR abs/2303.03922 (2023) - [i116]Zhen Bi, Jing Chen, Yinuo Jiang, Feiyu Xiong, Wei Guo, Huajun Chen, Ningyu Zhang:
CodeKGC: Code Language Model for Generative Knowledge Graph Construction. CoRR abs/2304.09048 (2023) - [i115]Wen Zhang, Zhen Yao, Mingyang Chen, Zhiwei Huang, Huajun Chen:
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning. CoRR abs/2304.14678 (2023) - [i114]Xiang Chen, Jintian Zhang, Xiaohan Wang, Tongtong Wu, Shumin Deng, Yongheng Wang, Luo Si, Huajun Chen, Ningyu Zhang:
Continual Multimodal Knowledge Graph Construction. CoRR abs/2305.08698 (2023) - [i113]Hongbin Ye, Honghao Gui, Xin Xu, Huajun Chen, Ningyu Zhang:
Schema-adaptable Knowledge Graph Construction. CoRR abs/2305.08703 (2023) - [i112]Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Rumination for Pre-trained Language Models. CoRR abs/2305.08732 (2023) - [i111]Shuofei Qiao, Honghao Gui, Huajun Chen, Ningyu Zhang:
Making Language Models Better Tool Learners with Execution Feedback. CoRR abs/2305.13068 (2023) - [i110]Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang:
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities. CoRR abs/2305.13168 (2023) - [i109]Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang:
Editing Large Language Models: Problems, Methods, and Opportunities. CoRR abs/2305.13172 (2023) - [i108]Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen:
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems. CoRR abs/2305.14642 (2023) - [i107]Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Huajun Chen:
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models. CoRR abs/2305.14651 (2023) - [i106]Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models. CoRR abs/2306.08018 (2023) - [i105]Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen:
Graph Sampling-based Meta-Learning for Molecular Property Prediction. CoRR abs/2306.16780 (2023) - [i104]Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Jeff Z. Pan, Yangning Li, Huajun Chen, Wen Zhang:
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment. CoRR abs/2307.16210 (2023) - [i103]Peng Wang, Ningyu Zhang, Xin Xie, Yunzhi Yao, Bozhong Tian, Mengru Wang, Zekun Xi, Siyuan Cheng, Kangwei Liu, Guozhou Zheng, Huajun Chen:
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models. CoRR abs/2308.07269 (2023) - [i102]Long Jin, Zhen Yao, Mingyang Chen, Huajun Chen, Wen Zhang:
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning. CoRR abs/2308.07889 (2023) - [i101]Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen:
When Do Program-of-Thoughts Work for Reasoning? CoRR abs/2308.15452 (2023) - [i100]Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan:
Agents: An Open-source Framework for Autonomous Language Agents. CoRR abs/2309.07870 (2023) - [i99]Zhen Bi, Ningyu Zhang, Yida Xue, Yixin Ou, Daxiong Ji, Guozhou Zheng, Huajun Chen:
OceanGPT: A Large Language Model for Ocean Science Tasks. CoRR abs/2310.02031 (2023) - [i98]Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen:
Unveiling the Pitfalls of Knowledge Editing for Large Language Models. CoRR abs/2310.02129 (2023) - [i97]Shengyu Mao, Ningyu Zhang, Xiaohan Wang, Mengru Wang, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
Editing Personality for LLMs. CoRR abs/2310.02168 (2023) - [i96]Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen:
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. CoRR abs/2310.03269 (2023) - [i95]Yichi Zhang, Zhuo Chen, Wen Zhang, Huajun Chen:
Making Large Language Models Perform Better in Knowledge Graph Completion. CoRR abs/2310.06671 (2023) - [i94]Siyuan Cheng, Bozhong Tian, Qingbin Liu, Xi Chen, Yongheng Wang, Huajun Chen, Ningyu Zhang:
Can We Edit Multimodal Large Language Models? CoRR abs/2310.08475 (2023) - [i93]Xiang Chen, Duanzheng Song, Honghao Gui, Chengxi Wang, Ningyu Zhang, Fei Huang, Chengfei Lv, Dan Zhang, Huajun Chen:
Unveiling the Siren's Song: Towards Reliable Fact-Conflicting Hallucination Detection. CoRR abs/2310.12086 (2023) - [i92]Zhiwei Huang, Long Jin, Junjie Wang, Mingchen Tu, Yin Hua, Zhiqiang Liu, Jiawei Meng, Huajun Chen, Wen Zhang:
Reliable Academic Conference Question Answering: A Study Based on Large Language Model. CoRR abs/2310.13028 (2023) - [i91]Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen:
Learning Invariant Molecular Representation in Latent Discrete Space. CoRR abs/2310.14170 (2023) - [i90]Yichi Zhang, Zhuo Chen, Yin Fang, Lei Cheng, Yanxi Lu, Fangming Li, Wen Zhang, Huajun Chen:
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering. CoRR abs/2311.06503 (2023) - 2022
- [j52]Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen:
Robust triple extraction with cascade bidirectional capsule network. Expert Syst. Appl. 187: 115806 (2022) - [j51]Lina Yuan, Huajun Chen, Jing Gong:
Interactive communication with clustering collaboration for wireless powered communication networks. Int. J. Distributed Sens. Networks 18(2): 155014772110699 (2022) - [j50]Renjun Xu, Shuoying Liang, Lanyu Wen, Zhitong Guo, Xinyue Huang, Mingli Song, Jindong Wang, Xiaoxiao Xu, Huajun Chen:
Hierarchical knowledge amalgamation with dual discriminative feature alignment. Inf. Sci. 613: 556-574 (2022) - [j49]Shumin Deng, Ningyu Zhang, Hui Chen, Chuanqi Tan, Fei Huang, Changliang Xu, Huajun Chen:
Low-resource extraction with knowledge-aware pairwise prototype learning. Knowl. Based Syst. 235: 107584 (2022) - [j48]Mingyang Chen, Wen Zhang, Zonggang Yuan, Yantao Jia, Huajun Chen:
Federated knowledge graph completion via embedding-contrastive learning. Knowl. Based Syst. 252: 109459 (2022) - [c175]Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Molecular Contrastive Learning with Chemical Element Knowledge Graph. AAAI 2022: 3968-3976 - [c174]Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen:
Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract). AAAI 2022: 13099-13100 - [c173]Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen:
Deep Reinforcement Learning for Entity Alignment. ACL (Findings) 2022: 2754-2765 - [c172]Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang:
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. COLING 2022: 2374-2387 - [c171]Zezhong Xu, Peng Ye, Hui Chen, Meng Zhao, Huajun Chen, Wen Zhang:
Ruleformer: Context-aware Rule Mining over Knowledge Graph. COLING 2022: 2551-2560 - [c170]Hongbin Ye, Ningyu Zhang, Hui Chen, Huajun Chen:
Generative Knowledge Graph Construction: A Review. EMNLP 2022: 1-17 - [c169]Yincen Qu, Ningyu Zhang, Hui Chen, Zelin Dai, Chengming Wang, Xiaoyu Wang, Qiang Chen, Huajun Chen:
Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce. EMNLP (Findings) 2022: 14-27 - [c168]Xin Xu, Xiang Chen, Ningyu Zhang, Xin Xie, Xi Chen, Huajun Chen:
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study. EMNLP (Findings) 2022: 413-427 - [c167]Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhenru Zhang, Chuanqi Tan, Huajun Chen:
Contrastive Demonstration Tuning for Pre-trained Language Models. EMNLP (Findings) 2022: 799-811 - [c166]Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Qiang Zhang, Jiazhang Lian, Huajun Chen:
OntoProtein: Protein Pretraining With Gene Ontology Embedding. ICLR 2022 - [c165]Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen:
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. ICLR 2022 - [c164]Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen:
Understanding and Improving Knowledge Graph Embedding for Entity Alignment. ICML 2022: 8145-8156 - [c163]Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen:
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting. IJCAI 2022: 1966-1972 - [c162]Yuxia Geng, Jiaoyan Chen, Wen Zhang, Yajing Xu, Zhuo Chen, Jeff Z. Pan, Yufeng Huang, Feiyu Xiong, Huajun Chen:
Disentangled Ontology Embedding for Zero-shot Learning. KDD 2022: 443-453 - [c161]Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. NAACL-HLT (Findings) 2022: 1607-1618 - [c160]Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. NeurIPS 2022 - [c159]Zezhong Xu, Wen Zhang, Peng Ye, Hui Chen, Huajun Chen:
Neural-Symbolic Entangled Framework for Complex Query Answering. NeurIPS 2022 - [c158]Yunzhi Yao, Shaohan Huang, Li Dong, Furu Wei, Huajun Chen, Ningyu Zhang:
Kformer: Knowledge Injection in Transformer Feed-Forward Layers. NLPCC (1) 2022: 131-143 - [c157]Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen:
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. SIGIR 2022: 904-915 - [c156]Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu, Huajun Chen:
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding. SIGIR 2022: 927-937 - [c155]Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. SIGIR 2022: 2443-2448 - [c154]Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Yajing Xu, Ningyu Zhang, Zezhong Xu, Zonggang Yuan, Feiyu Xiong, Huajun Chen:
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs. SIGIR 2022: 3323-3328 - [c153]Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen:
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning. WSDM 2022: 1516-1524 - [c152]Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen:
From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer. WWW (Companion Volume) 2022: 162-165 - [c151]Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen:
Ontology-enhanced Prompt-tuning for Few-shot Learning. WWW 2022: 778-787 - [c150]Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. WWW 2022: 2778-2788 - [i89]Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Fei Huang, Guozhou Zheng, Huajun Chen:
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. CoRR abs/2201.03335 (2022) - [i88]Yunzhi Yao, Shaohan Huang, Ningyu Zhang, Li Dong, Furu Wei, Huajun Chen:
Kformer: Knowledge Injection in Transformer Feed-Forward Layers. CoRR abs/2201.05742 (2022) - [i87]Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Jiazhang Lian, Qiang Zhang, Huajun Chen:
OntoProtein: Protein Pretraining With Gene Ontology Embedding. CoRR abs/2201.11147 (2022) - [i86]Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen:
Ontology-enhanced Prompt-tuning for Few-shot Learning. CoRR abs/2201.11332 (2022) - [i85]Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen:
From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer. CoRR abs/2202.02113 (2022) - [i84]Qiang Zhang, Zeyuan Wang, Yuqiang Han, Haoran Yu, Xurui Jin, Huajun Chen:
Prompt-Guided Injection of Conformation to Pre-trained Protein Model. CoRR abs/2202.02944 (2022) - [i83]Wen Zhang, Jiaoyan Chen, Juan Li, Zezhong Xu, Jeff Z. Pan, Huajun Chen:
Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective. CoRR abs/2202.07412 (2022) - [i82]Shumin Deng, Ningyu Zhang, Hui Chen, Feiyu Xiong, Jeff Z. Pan, Huajun Chen:
Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective. CoRR abs/2202.08063 (2022) - [i81]Lingbing Guo, Qiang Zhang, Huajun Chen:
Unleashing the Power of Transformer for Graphs. CoRR abs/2202.10581 (2022) - [i80]Yin Fang, Qiang Zhang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer. CoRR abs/2202.10587 (2022) - [i79]Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Zezhong Xu, Yajing Xu, Ningyu Zhang, Zonggang Yuan, Feiyu Xiong, Huajun Chen:
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs. CoRR abs/2202.12571 (2022) - [i78]Wen Zhang, Chi-Man Wong, Ganqiang Ye, Bo Wen, Hongting Zhou, Wei Zhang, Huajun Chen:
PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application. CoRR abs/2203.00964 (2022) - [i77]Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen:
Deep Reinforcement Learning for Entity Alignment. CoRR abs/2203.03315 (2022) - [i76]Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhen Bi, Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang, Huajun Chen:
Contrastive Demonstration Tuning for Pre-trained Language Models. CoRR abs/2204.04392 (2022) - [i75]Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. CoRR abs/2205.02355 (2022) - [i74]Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen:
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. CoRR abs/2205.02357 (2022) - [i73]Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. CoRR abs/2205.03521 (2022) - [i72]Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen:
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting. CoRR abs/2205.04692 (2022) - [i71]Yincen Qu, Ningyu Zhang, Hui Chen, Zelin Dai, Zezhong Xu, Chengming Wang, Xiaoyu Wang, Qiang Chen, Huajun Chen:
Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce. CoRR abs/2205.10843 (2022) - [i70]Zhen Bi, Siyuan Cheng, Ningyu Zhang, Xiaozhuan Liang, Feiyu Xiong, Huajun Chen:
Relphormer: Relational Graph Transformer for Knowledge Graph Representation. CoRR abs/2205.10852 (2022) - [i69]Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. CoRR abs/2205.14704 (2022) - [i68]