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Billion-scale pre-trained knowledge graph model for conversational chatbot Journal article
Wong, Chi Man, Feng, Fan, Zhang, Wen, Chen, Huajun, Vong, Chi Man, Chen, Chuangquan. Billion-scale pre-trained knowledge graph model for conversational chatbot[J]. Neurocomputing, 2024, 606, 128353.
Authors:  Wong, Chi Man;  Feng, Fan;  Zhang, Wen;  Chen, Huajun;  Vong, Chi Man; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.5/5.5 | Submit date：2024/09/03
Click-through-rate  Conversational Chatbot  Entity Representation  Knowledge Graph  
DyGKT: Dynamic Graph Learning for Knowledge Tracing Conference paper
KE CHENG, LINZHI PENG, PENGYANG WANG, JUNCHEN YE, LEILEI SUN, BOWEN DU. DyGKT: Dynamic Graph Learning for Knowledge Tracing[C], New York, NY, USA:Association for Computing Machinery, 2024, 409-420.
Authors:  KE CHENG;  LINZHI PENG;  PENGYANG WANG;  JUNCHEN YE;  LEILEI SUN; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/08/28
Dynamic Graph  Educational Data Mining  Graph Neural Networks  Knowledge Tracing  
Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction Journal article
Yuhuan Lu, Dingqi Yang, Pengyang Wang, Paolo Rosso, Philippe Cudre-Mauroux. Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 36(6), 2614-2628.
Authors:  Yuhuan Lu;  Dingqi Yang;  Pengyang Wang;  Paolo Rosso;  Philippe Cudre-Mauroux
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2023/12/13
Hyper-relation  Knowledge Graph Embedding  Link Prediction  Schema  
Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning Conference paper
Yu, Weijian, Yang, Jie, Yang, Dingqi. Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning[C], New York, NY, United States:Association for Computing Machinery, Inc, 2024, 2282-2293.
Authors:  Yu, Weijian;  Yang, Jie;  Yang, Dingqi
Favorite | TC[Scopus]:1 | Submit date：2024/06/05
Hyper-relation  Link Prediction  Noisy Knowledge Graph  
Generalized Few-Shot Node Classification With Graph Knowledge Distillation Journal article
Wang, Jialong, Zhou, Mengting, Zhang, Shilong, Gong, Zhiguo. Generalized Few-Shot Node Classification With Graph Knowledge Distillation[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Wang, Jialong;  Zhou, Mengting;  Zhang, Shilong;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/05/16
Few-shot Learning (Fsl)  Graph Neural Networks (Gnns)  Knowledge Distillation  Node Classification  
Fast and Slow Thinking: A Two-Step Schema-Aware Approach for Instance Completion in Knowledge Graphs Journal article
Dingqi Yang, Bingqing Qu, Paolo Rosso, Philippe Cudre-Mauroux. Fast and Slow Thinking: A Two-Step Schema-Aware Approach for Instance Completion in Knowledge Graphs[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(3), 1113 - 1129.
Authors:  Dingqi Yang;  Bingqing Qu;  Paolo Rosso;  Philippe Cudre-Mauroux
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2023/08/12
Knowledge Graph Embedding  Entity Types  Instance Completion  Fast And Slow Thinking  
Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering Journal article
Xu,Liang, Chen,Tao, Hou,Zhaoxiang, Zhang,Weishan, Hon,Chitin, Wang,Xiao, Wang,Di, Chen,Long, Zhu,Wenyin, Tian,Yunlong, Ning,Huansheng, Wang,Fei Yue. Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering[J]. IEEE Transactions on Computational Social Systems, 2024, 11(1), 1035-1045.
Authors:  Xu,Liang;  Chen,Tao;  Hou,Zhaoxiang;  Zhang,Weishan;  Hon,Chitin; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:4.5/4.6 | Submit date：2023/08/03
Knowledge Graph  Multitask Semantic Parsing [Msp-bidirectional And Auto-regressive Transformers (Bart)]  Prompt Learning  Question And Answering (q&a)  Reinforcement Federated Learning (Rfl)  
Extracting Top-κ Frequent and Diversified Patterns in Knowledge Graphs Journal article
Zeng,Jian, U,Leong Hou, Yan,Xiao, Li,Yan, Han,Mingji, Tang,Bo. Extracting Top-κ Frequent and Diversified Patterns in Knowledge Graphs[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(2), 608-626.
Authors:  Zeng,Jian;  U,Leong Hou;  Yan,Xiao;  Li,Yan;  Han,Mingji; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2023/08/03
Knowledge Discovery  Graph Pattern Mining  Data Exploration  
Temporal inductive path neural network for temporal knowledge graph reasoning Journal article
Dong, Hao, Wang, Pengyang, Xiao, Meng, Ning, Zhiyuan, Wang, Pengfei, Zhou, Yuanchun. Temporal inductive path neural network for temporal knowledge graph reasoning[J]. Artificial Intelligence, 2024, 329, 104085.
Authors:  Dong, Hao;  Wang, Pengyang;  Xiao, Meng;  Ning, Zhiyuan;  Wang, Pengfei; et al.
Favorite | TC[WOS]:3 TC[Scopus]:6  IF:5.1/4.8 | Submit date：2024/05/02
Graph Neural Networks  Knowledge Graph Reasoning  Temporal Knowledge Graph  Temporal Reasoning  
Vehicle Trajectory Completion for Automatic Number Plate Recognition Data: A Temporal Knowledge Graph-Based Method Journal article
Long, Zhe, Chen, Jinjin, Zhang, Zuping. Vehicle Trajectory Completion for Automatic Number Plate Recognition Data: A Temporal Knowledge Graph-Based Method[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2023, 37(13), 2350029.
Authors:  Long, Zhe;  Chen, Jinjin;  Zhang, Zuping
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:0.9/1.0 | Submit date：2024/01/10
Automatic Number Plate Recognition (Anpr) Data  Knowledge Representation Learning  Link Prediction  Temporal Knowledge Graph  Vehicle Trajectory Completion