Table of Contents

• Research on Innovation Trends of AI Applied to Medical Instruments Using Informetrics Based on Multi-sourse InformationXingwang Wang, Tingting Yu. 3-12 [doi]
• Extracting Prerequisite Relations Among Wikipedia Concepts Using the Clickstream DataCheng Hu, Kui Xiao, Zesong Wang, Shihui Wang, Qifeng Li. 13-26 [doi]
• Clustering Massive-Categories and Complex Documents via Graph Convolutional NetworkQingchao Zhao, Jing Yang, Zhengkui Wang, Yan Chu 0001, Wen Shan, Isfaque Al Kaderi Tuhin. 27-39 [doi]
• Structure-Enhanced Graph Representation Learning for Link Prediction in Signed NetworksYunke Zhang, Zhiwei Yang, Bo Yu, Hechang Chen, Yang Li, Xuehua Zhao. 40-52 [doi]
• A Property-Based Method for Acquiring Commonsense KnowledgeYa Wang, Cungen Cao, Yuting Cao, Shi Wang. 53-65 [doi]
• Multi-hop Learning Promote Cooperation in Multi-agent SystemsXingyu Liu, Runyu Guan, Tao Wang, Le Han, Yu Qin, Yi Wang. 66-77 [doi]
• FedPS: Model Aggregation with Pseudo SamplesMulin Xu. 78-88 [doi]
• Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral DifferentialWeidong Zou, Yuanqing Xia, Meikang Qiu, Weipeng Cao. 89-100 [doi]
• Knowledge-Based Diverse Feature Transformation for Few-Shot Relation ClassificationYubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu. 101-114 [doi]
• Community Detection in Dynamic Networks: A Novel Deep Learning MethodFan Zhang, Junyou Zhu, Zheng Luo, Zhen Wang, Li Tao, Chao Gao. 115-127 [doi]
• Additive Noise Model Structure Learning Based on Rank StatisticsJing Yang 0008, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang. 128-139 [doi]
• A MOOCs Recommender System Based on User's Knowledge BackgroundYibing Zhao, Wenjun Ma, Yuncheng Jiang, Jieyu Zhan. 140-153 [doi]
• TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over Knowledge GraphsJianbin Li, Ketong Qu, Jingchen Yan, Liting Zhou, Long Cheng. 154-165 [doi]
• Representing Knowledge Graphs with Gaussian Mixture EmbeddingWenying Feng, Daren Zha, Xiaobo Guo, Yao Dong, Yuanye He. 166-178 [doi]
• A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community DetectionZe Yin, Yue Deng, Fan Zhang, Zheng Luo, Peican Zhu, Chao Gao. 179-190 [doi]
• Named Entity Recognition Based on Reinforcement Learning and Adversarial TrainingShi Peng, Yong Zhang, Yuanfang Yu, Haoyang Zuo, Kai Zhang. 191-202 [doi]
• Improved Partitioning Graph Embedding Framework for Small ClusterDing Sun, Zhen Huang 0006, Dongsheng Li, Xiangyu Ye, Yilin Wang. 203-215 [doi]
• A Framework of Data Fusion Through Spatio-Temporal Knowledge GraphXiaohan Zhang, Xinning Zhu, Jie Wu, Zheng Hu, Chunhong Zhang. 216-228 [doi]
• SEGAR: Knowledge Graph Augmented Session-Based RecommendationXinyi Xu, Yan Tang, Zhuoming Xu. 229-241 [doi]
• Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation SystemHaizhou Du, Yue Tang. 242-254 [doi]
• An Ensemble Fuzziness-Based Online Sequential Learning Approach and Its ApplicationWei-Peng Cao, Sheng-Dong Li, Cheng-Chao Huang, Yu-Hao Wu, Qiang Wang, Da-Chuan Li, Ye Liu. 255-267 [doi]
• GASKT: A Graph-Based Attentive Knowledge-Search Model for Knowledge TracingMengdan Wang, Chao Peng, Rui Yang, Chenchao Wang, Yao Chen, Xiaohua Yu. 268-279 [doi]
• Fragile Neural Network Watermarking with Trigger Image SetRenjie Zhu, Ping Wei, Sheng Li 0006, Zhaoxia Yin, Xinpeng Zhang 0001, Zhenxing Qian. 280-293 [doi]
• Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion TaskYashen Wang, Huanhuan Zhang. 294-306 [doi]
• A Research Study on Running Machine Learning Algorithms on Big Data with SparkArpad Kerestely, Alexandra Baicoianu, Razvan Bocu. 307-318 [doi]
• Attentional Neural Factorization Machines for Knowledge TracingXiaowu Zhang, Li Li. 319-330 [doi]
• Node-Image CAE: A Novel Embedding Method via Convolutional Auto-encoder and High-Order ProximitiesDi Qiao, Wu Yang, Wei Wang. 331-345 [doi]
• EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph ReasoningYuejia Wu, Jiantao Zhou. 346-356 [doi]
• Knowledge Distillation via Channel Correlation StructureBo Li, Bin Chen 0011, Yunxiao Wang, Tao Dai, Maowei Hu, Yong Jiang, Shutao Xia. 357-368 [doi]
• Feature Interaction Convolutional Network for Knowledge Graph EmbeddingJiachuan Li, Aimin Li, Teng Liu. 369-380 [doi]
• Towards a Modular Ontology for Cloud Consumer Review MiningEmna Ben Abdallah 0002, Khouloud Boukadi, Rima Grati. 381-394 [doi]
• Identification of Critical Nodes in Urban Transportation Network Through Network Topology and Server RoutesShihong Jiang, Zheng Luo, Ze Yin, Zhen Wang, Songxin Wang, Chao Gao. 395-407 [doi]
• Graph Ensemble Networks for Semi-supervised Embedding LearningHui Tang, Xun Liang, Bo Wu, Zhenyu Guan, Yuhui Guo, Xiangping Zheng. 408-420 [doi]
• Rethinking the Information Inside Documents for Sentiment ClassificationXinyu Jiang, Chongyang Shi, Shufeng Hao, Dequan Yang, Chaoqun Feng. 421-432 [doi]
• Dependency Parsing Representation Learning for Open Information ExtractionZekun Li, Nianwen Ning, Chengcheng Peng, Bin Wu 0001. 433-444 [doi]
• Hierarchical Policy Network with Multi-agent for Knowledge Graph Reasoning Based on Reinforcement LearningMingming Zheng, Yanquan Zhou, Qingyao Cui. 445-457 [doi]
• Inducing Bilingual Word Representations for Non-isomorphic Spaces by an Unsupervised WayShaoLin Zhu, Chenggang Mi, Linlin Zhang. 458-466 [doi]
• A Deep Learning Model Based on Neural Bag-of-Words Attention for Sentiment AnalysisJing Liao, Zhixiang Yi. 467-478 [doi]
• Graph Attention Mechanism with Cardinality Preservation for Knowledge Graph CompletionCong Ding, Xiao Wei, Yongqi Chen, Rui Zhao. 479-490 [doi]
• Event Relation Reasoning Based on Event Knowledge GraphTingting Tang, Wei Liu, Weimin Li, Jinliang Wu, Haiyang Ren. 491-503 [doi]
• PEN4Rec: Preference Evolution Networks for Session-Based RecommendationDou Hu 0001, Lingwei Wei, Wei Zhou 0019, Xiaoyong Huai, Zhiqi Fang, Songlin Hu. 504-516 [doi]
• HyperspherE: An Embedding Method for Knowledge Graph Completion Based on HypersphereYao Dong, Xiaobo Guo, Ji Xiang, Kai Liu, Zhihao Tang. 517-528 [doi]
• TroBo: A Novel Deep Transfer Model for Enhancing Cross-Project Bug LocalizationZiye Zhu, Yu Wang, Yun Li 0009. 529-541 [doi]
• A Neural Language Understanding for Dialogue State TrackingYuhong He, Yan Tang. 542-552 [doi]
• Spirit Distillation: A Model Compression Method with Multi-domain Knowledge TransferZhiyuan Wu, Yu Jiang 0006, Minghao Zhao, Chupeng Cui, Zongmin Yang, Xinhui Xue, Hong Qi. 553-565 [doi]
• Knowledge Tracing with Exercise-Enhanced Key-Value Memory NetworksNan Zhang, Li Li. 566-577 [doi]
• Entity Alignment Between Knowledge Graphs Using Entity Type MatchingXiuting Song, Han Zhang, Luyi Bai. 578-589 [doi]
• Text-Aware Recommendation Model Based on Multi-attention Neural NetworksGang Qiu, Xiaoli Yu, Liping Jiang, Baoying Ma. 590-603 [doi]
• Chinese Named Entity Recognition Based on Gated Graph Neural NetworkQing Zhong, Yan Tang. 604-613 [doi]
• Learning a Similarity Metric Discriminatively with Application to Ancient Character RecognitionXuxing Liu, Xiaoqin Tang, Shanxiong Chen. 614-626 [doi]
• Incorporating Global Context into Multi-task Learning for Session-Based RecommendationNan Qiu, BoYu Gao, Feiran Huang, Huawei Tu, Weiqi Luo. 627-638 [doi]
• Exploring Sequential and Collaborative Contexts for Next Point-of-Interest RecommendationJingyi Liu, Yanyan Zhao, Limin Liu, Shijie Jia. 639-655 [doi]
• Predicting User Preferences via Heterogeneous Information Network and Metric LearningXiaotong Li, Yan Tang, Yuan Yuan, Yingpei Chen. 656-665 [doi]
• An IoT Ontology Class Recommendation Method Based on Knowledge GraphXi Wang, Chuantao Yin, Xin Fan, Si Wu, Lan Wang. 666-678 [doi]
• Ride-Sharing Matching of Commuting Private Car Using Reinforcement LearningJunchao Lv, Linjiang Zheng, Longquan Liao, Xin Chen. 679-691 [doi]
• Optimization of Remote Desktop with CNN-based Image Compression ModelHejun Wang, Hongjun Dai, Meikang Qiu, Meiqin Liu. 692-703 [doi]