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ORCIDKSEM 2022: Singapore
- Gérard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, Meikang Qiu
:
Knowledge Science, Engineering and Management - 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13368, Springer 2022, ISBN 978-3-031-10982-9
Knowledge Science with Learning and AI (KSLA)
- Gui Yuan, Gang Liu, Jian Chen:
A Decoupled YOLOv5 with Deformable Convolution and Multi-scale Attention. 3-14 - Haoyang Ma, Zhaoyun Ding, Zeyu Li, Hongyu Guo:
OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledge. 15-30 - Yuejia Wu, Jia-Le Li, Jiantao Zhou:
KIR: A Knowledge-Enhanced Interpretable Recommendation Method. 31-43 - Gangli Liu:
ICKEM: A Tool for Estimating One's Understanding of Conceptual Knowledge. 44-57 - Shiyang Lin, Chenhe Dong, Ying Shen:
Cross-perspective Graph Contrastive Learning. 58-70 - Borui Xu, Tong Zhang, Weiguo Liu:
A Multi-scale Convolution and Gated Recurrent Unit Based Network for Limit Order Book Prediction. 71-84 - Tengwei Song, Jie Luo, Xiangyu Chen:
Pre-train Unified Knowledge Graph Embedding with Ontology. 85-92 - Dongjun Fu, Chunhong Zhang, Jibin Yu, Qi Sun, Zhiqiang Zhan:
Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection. 93-108 - Yu Zhang, Yimeng Li, Chaomurilige, Yu Weng:
A Study of Event Multi-triple Extraction Methods Based on Edge-Enhanced Graph Convolution Networks. 109-119 - Boyao Zhang, Zijian Wang, Haikuo Zhang, Yonghua Zhao, Jingqi Sun, Jing Wang:
Construction Research and Applications of Industry Chain Knowledge Graphs. 120-132 - Biao Ma, Xiaoying Chen, Shengwu Xiong:
Query and Neighbor-Aware Reasoning Based Multi-hop Question Answering over Knowledge Graph. 133-145 - Linqing Yang, Kecen Guo, Bo Liu, Jiazheng Gong, Zhujian Zhang, Peiyu Zhao:
Question Answering over Knowledge Graphs with Query Path Generation. 146-158 - Haohao Qu, Sheng Liu, Zihan Guo, Linlin You, Jun Li:
Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn. 159-172 - Yu Ling, Zhilong Shan:
Knowledge Concept Recommender Based on Structure Enhanced Interaction Graph Neural Network. 173-186 - Xin Wang, Min Luo, Chengliang Si, Huayi Zhan:
Answering Complex Questions on Knowledge Graphs. 187-200 - Ruixin Ma, Guangyue Lv, Liang Zhao, Yunlong Ma, Hongyan Zhang, Xiaobin Liu:
Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation. 201-213 - Yawei Zhao, Yangyuanxiang Xu, Zhiwei Wang:
Edge-Shared GraphSAGE: A New Method of Buffer Calculation for Parallel Management of Big Data Project Schedule. 214-226 - Yi Liang, Shuai Zhao, Bo Cheng, Yuwei Yin, Hao Yang:
Tackling Solitary Entities for Few-Shot Knowledge Graph Completion. 227-239 - Yue Luo, Chunming Yang, Bo Li, Xujian Zhao, Hui Zhang:
CP Tensor Factorization for Knowledge Graph Completion. 240-254 - Kai Wang, Chunhong Zhang, Jibin Yu, Qi Sun:
Signal Embeddings for Complex Logical Reasoning in Knowledge Graphs. 255-267 - Yubin Wu, Hao Sheng, Shuai Wang, Yang Liu, Wei Ke, Zhang Xiong:
Data Association with Graph Network for Multi-Object Tracking. 268-280 - Ruiguo Yu, Siyao Gao, Jian Yu, Mankun Zhao, Tianyi Xu, Jie Gao, Hongwei Liu, Xuewei Li:
Knowledge Graph Embedding with Direct and Disentangled Neighborhood Representation Attention Network. 281-294 - Xunhan Chen, Zhiyong Ma, Zhenghong Xiao, Qi Xia, Shaopeng Liu:
KGESS - A Knowledge Graph Embedding Method Based on Semantics and Structure. 295-308 - Shun Mao, Jieyu Zhan, Jiawei Li, Yuncheng Jiang:
Knowledge Structure-Aware Graph-Attention Networks for Knowledge Tracing. 309-321 - Yingqi Zhang, Wenjing Gu, Wenjun Ma, Yuncheng Jiang:
MCSN: Multi-graph Collaborative Semantic Network for Chinese NER. 322-334 - Xiang Ying, Minghao Li, Jian Yu, Mankun Zhao, Tianyi Xu, Mei Yu, Hongwei Liu, Xuewei Li:
Text-Enhanced and Relational Context Based Hyperbolic Knowledge Graph Embedding. 335-345 - Pengyun Xie, Xinning Zhu, Chunhong Zhang, Zheng Hu, Guanghua Yang:
Cross-Sentence Temporal Relation Extraction with Relative Sentence Time. 346-357 - Sijie Wang, Ziwen Zhang, Yong Dou, Jun Luo, Zhen Huang:
Discourse Component Recognition via Graph Neural Network in Chinese Student Argumentative Essays. 358-373 - Maoyu Zhang, Haiming Li:
A Rating Prediction Model Based on Knowledge Modeling. 374-385 - Liu Yang, Bingyuan Xie, Jun Long, Wenti Huang, Shuyi Liu, Tingxuan Chen:
Attending to SPARQL Logs for Knowledge Representation Learning. 386-399 - Hejian Gu, Hang Yu, Xiangfeng Luo:
DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction. 400-412 - Yashen Wang, Xiaoye Ouyang, Xiaoling Zhu, Huanhuan Zhang:
Concept Commons Enhanced Knowledge Graph Representation. 413-424 - Yashen Wang, Xiaoling Zhu, Huanhuan Zhang:
Relation Prediction Based on Source-Entity Behavior Preference Modeling via Heterogeneous Graph Pooling. 425-436 - Yuting Wang, Qian Gao, Jun Fan:
KEAN: Knowledge-Enhanced and Attention Network for News Recommendation. 437-449 - Chuanqing Wang, Yangyang Li, Chaoqun Fei, Xikun Huang:
Labeled Knowledge-Based Decision Making with Assumption-Based Argumentation. 450-465 - Yuan Yuan, Yan Tang, Luomin Du, Yingpei Chen:
MGR: Metric Learning with Graph Neural Networks for Multi-behavior Recommendation. 466-477 - Piotr Wisniewski, Krzysztof Kluza, Anna Suchenia, Leszek Szala, Antoni Ligeza:
Recomposition of Process Choreographies Using a Graph-Based Model Repository. 478-488 - Piotr Swedrak, Weronika T. Adrian, Krzysztof Kluza:
Combining Knowledge Graphs with Semantic Similarity Metrics for Sentiment Analysis. 489-501 - Xin Wang, Lan Yang, Honglian He, Yu Fang, Huayi Zhan, Ji Zhang:
Enhanced Simple Question Answering with Contrastive Learning. 502-515 - Chen Ling, Xianren Zhang, Jiaxing Shang, Dajiang Liu, Yong Li, Wu Xie, Baohua Qiang:
ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning. 516-528 - Wen Chen, Wenjun Ma, Yuncheng Jiang, Xiaomao Fan:
GADN: GCN-Based Attentive Decay Network for Course Recommendation. 529-541 - Yanze Ren, Yan Liu, Guangsheng Zhang, Lian Liu, Peng Lv:
Discrimination of News Political Bias Based on Heterogeneous Graph Neural Network. 542-555 - Xiaotian Xiong, Qianshi Yuan, Maoan Zhou, Xiaomei Wei:
Graph-Based Neural Collaborative Filtering Model for Drug-Disease Associations Prediction. 556-567 - Ya Wang, Cungen Cao, Zhiwen Chen, Shi Wang:
ECCKG: An Eventuality-Centric Commonsense Knowledge Graph. 568-584 - Ya Wang, Cungen Cao, Zhiwen Chen, Shi Wang:
CKGAC: A Commonsense Knowledge Graph About Attributes of Concepts. 585-601 - Yingpei Chen, Yan Tang:
Attentive Capsule Graph Neural Networks for Session-Based Recommendation. 602-613 - Thanh Le, Chi Tran, Loc Tran, Bac Le:
Integrating Quaternion Graph Convolutional Networks with Tucker Decomposition for Link Prediction on Knowledge Graphs. 614-626 - Xixi Zhu, Bin Lin, Zhaoyun Ding, Li Yao, Cheng Zhu:
Implementing Large-Scale ABox Materialization Using Subgraph Reasoning. 627-643 - Mariam Ben Hassen, Mohamed Turki, Faïez Gargouri:
BPMN4SBP for Multi-dimensional Modeling of Sensitive Business Processes. 644-657 - Tengwei Song, Jie Luo:
Attention-based Learning for Multiple Relation Patterns in Knowledge Graph Embedding. 658-670 - Baoshuai Du, Tong Fang, Lulu Gao, Guang Yang, Jingbo Zhao:
Recognition of Mechanical Parts Based on Improved YOLOv4-Tiny Algorithm. 671-682 - Yuanhao Hu, Yuanxin Ouyang, Jun Bai, Chuanrui Wang, Wenge Rong, Zhang Xiong:
Asymmetric Neighboring Context Modeling for Knowledge Graph Embedding. 683-695 - Wenying Feng, Daren Zha, Lei Wang, Xiaobo Guo:
IMDb30: A Multi-relational Knowledge Graph Dataset of IMDb Movies. 696-708 - Chuanrui Wang, Jun Bai, Xiaofeng Zhang, Cen Yan, Yuanxin Ouyang, Wenge Rong, Zhang Xiong:
KnowReQA: A Knowledge-aware Retrieval Question Answering System. 709-721 - Jingqi Wang, Cui Zhu, Wenjun Zhu:
Dynamic Embedding Graph Attention Networks for Temporal Knowledge Graph Completion. 722-734 - Yu Sun, Kailang Ma, Xuanxin Liu, Jian Cui:
Cross-CAM: Focused Visual Explanations for Deep Convolutional Networks via Training-Set Tracing. 735-745
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