KSEM C

57 papers

YearTitle / Authors
2021A Deep Learning Model Based on Neural Bag-of-Words Attention for Sentiment Analysis.
Jing Liao, Zhixiang Yi
2021A Framework of Data Fusion Through Spatio-Temporal Knowledge Graph.
Xiaohan Zhang, Xinning Zhu, Jie Wu, Zheng Hu, Chunhong Zhang
2021A MOOCs Recommender System Based on User's Knowledge Background.
Yibing Zhao, Wenjun Ma, Yuncheng Jiang, Jieyu Zhan
2021A Neural Language Understanding for Dialogue State Tracking.
Yuhong He, Yan Tang
2021A Property-Based Method for Acquiring Commonsense Knowledge.
Ya Wang, Cungen Cao, Yuting Cao, Shi Wang
2021A Research Study on Running Machine Learning Algorithms on Big Data with Spark.
Arpad Kerestely, Alexandra Baicoianu, Razvan Bocu
2021A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection.
Ze Yin, Yue Deng, Fan Zhang, Zheng Luo, Peican Zhu, Chao Gao
2021Additive Noise Model Structure Learning Based on Rank Statistics.
Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang
2021An Ensemble Fuzziness-Based Online Sequential Learning Approach and Its Application.
Wei-Peng Cao, Sheng-Dong Li, Cheng-Chao Huang, Yu-Hao Wu, Qiang Wang, Da-Chuan Li, Ye Liu
2021An IoT Ontology Class Recommendation Method Based on Knowledge Graph.
Xi Wang, Chuantao Yin, Xin Fan, Si Wu, Lan Wang
2021Attentional Neural Factorization Machines for Knowledge Tracing.
Xiaowu Zhang, Li Li
2021Chinese Named Entity Recognition Based on Gated Graph Neural Network.
Qing Zhong, Yan Tang
2021Clustering Massive-Categories and Complex Documents via Graph Convolutional Network.
Qingchao Zhao, Jing Yang, Zhengkui Wang, Yan Chu, Wen Shan, Isfaque Al Kaderi Tuhin
2021Community Detection in Dynamic Networks: A Novel Deep Learning Method.
Fan Zhang, Junyou Zhu, Zheng Luo, Zhen Wang, Li Tao, Chao Gao
2021Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential.
Weidong Zou, Yuanqing Xia, Meikang Qiu, Weipeng Cao
2021Dependency Parsing Representation Learning for Open Information Extraction.
Zekun Li, Nianwen Ning, Chengcheng Peng, Bin Wu
2021EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning.
Yuejia Wu, Jiantao Zhou
2021Entity Alignment Between Knowledge Graphs Using Entity Type Matching.
Xiuting Song, Han Zhang, Luyi Bai
2021Event Relation Reasoning Based on Event Knowledge Graph.
Tingting Tang, Wei Liu, Weimin Li, Jinliang Wu, Haiyang Ren
2021Exploring Sequential and Collaborative Contexts for Next Point-of-Interest Recommendation.
Jingyi Liu, Yanyan Zhao, Limin Liu, Shijie Jia
2021Extracting Prerequisite Relations Among Wikipedia Concepts Using the Clickstream Data.
Cheng Hu, Kui Xiao, Zesong Wang, Shihui Wang, Qifeng Li
2021Feature Interaction Convolutional Network for Knowledge Graph Embedding.
Jiachuan Li, Aimin Li, Teng Liu
2021FedPS: Model Aggregation with Pseudo Samples.
Mulin Xu
2021Fragile Neural Network Watermarking with Trigger Image Set.
Renjie Zhu, Ping Wei, Sheng Li, Zhaoxia Yin, Xinpeng Zhang, Zhenxing Qian
2021GASKT: A Graph-Based Attentive Knowledge-Search Model for Knowledge Tracing.
Mengdan Wang, Chao Peng, Rui Yang, Chenchao Wang, Yao Chen, Xiaohua Yu
2021Graph Attention Mechanism with Cardinality Preservation for Knowledge Graph Completion.
Cong Ding, Xiao Wei, Yongqi Chen, Rui Zhao
2021Graph Ensemble Networks for Semi-supervised Embedding Learning.
Hui Tang, Xun Liang, Bo Wu, Zhenyu Guan, Yuhui Guo, Xiangping Zheng
2021Hierarchical Policy Network with Multi-agent for Knowledge Graph Reasoning Based on Reinforcement Learning.
Mingming Zheng, Yanquan Zhou, Qingyao Cui
2021HyperspherE: An Embedding Method for Knowledge Graph Completion Based on Hypersphere.
Yao Dong, Xiaobo Guo, Ji Xiang, Kai Liu, Zhihao Tang
2021Identification of Critical Nodes in Urban Transportation Network Through Network Topology and Server Routes.
Shihong Jiang, Zheng Luo, Ze Yin, Zhen Wang, Songxin Wang, Chao Gao
2021Improved Partitioning Graph Embedding Framework for Small Cluster.
Ding Sun, Zhen Huang, Dongsheng Li, Xiangyu Ye, Yilin Wang
2021Incorporating Global Context into Multi-task Learning for Session-Based Recommendation.
Nan Qiu, Boyu Gao, Feiran Huang, Huawei Tu, Weiqi Luo
2021Inducing Bilingual Word Representations for Non-isomorphic Spaces by an Unsupervised Way.
Shaolin Zhu, Chenggang Mi, Linlin Zhang
2021Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion Task.
Yashen Wang, Huanhuan Zhang
2021Knowledge Distillation via Channel Correlation Structure.
Bo Li, Bin Chen, Yunxiao Wang, Tao Dai, Maowei Hu, Yong Jiang, Shutao Xia
2021Knowledge Science, Engineering and Management - 14th International Conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, Proceedings, Part I
Han Qiu, Cheng Zhang, Zongming Fei, Meikang Qiu, Sun-Yuan Kung
2021Knowledge Tracing with Exercise-Enhanced Key-Value Memory Networks.
Nan Zhang, Li Li
2021Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification.
Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu
2021Learning a Similarity Metric Discriminatively with Application to Ancient Character Recognition.
Xuxing Liu, Xiaoqin Tang, Shanxiong Chen
2021Multi-hop Learning Promote Cooperation in Multi-agent Systems.
Xingyu Liu, Runyu Guan, Tao Wang, Le Han, Yu Qin, Yi Wang
2021Named Entity Recognition Based on Reinforcement Learning and Adversarial Training.
Shi Peng, Yong Zhang, Yuanfang Yu, Haoyang Zuo, Kai Zhang
2021Node-Image CAE: A Novel Embedding Method via Convolutional Auto-encoder and High-Order Proximities.
Di Qiao, Wu Yang, Wei Wang
2021Optimization of Remote Desktop with CNN-based Image Compression Model.
Hejun Wang, Hongjun Dai, Meikang Qiu, Meiqin Liu
2021PEN4Rec: Preference Evolution Networks for Session-Based Recommendation.
Dou Hu, Lingwei Wei, Wei Zhou, Xiaoyong Huai, Zhiqi Fang, Songlin Hu
2021Predicting User Preferences via Heterogeneous Information Network and Metric Learning.
Xiaotong Li, Yan Tang, Yuan Yuan, Yingpei Chen
2021Representing Knowledge Graphs with Gaussian Mixture Embedding.
Wenying Feng, Daren Zha, Xiaobo Guo, Yao Dong, Yuanye He
2021Research on Innovation Trends of AI Applied to Medical Instruments Using Informetrics Based on Multi-sourse Information.
Xingwang Wang, Tingting Yu
2021Rethinking the Information Inside Documents for Sentiment Classification.
Xinyu Jiang, Chongyang Shi, Shufeng Hao, Dequan Yang, Chaoqun Feng
2021Ride-Sharing Matching of Commuting Private Car Using Reinforcement Learning.
Junchao Lv, Linjiang Zheng, Longquan Liao, Xin Chen
2021SEGAR: Knowledge Graph Augmented Session-Based Recommendation.
Xinyi Xu, Yan Tang, Zhuoming Xu
2021Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer.
Zhiyuan Wu, Yu Jiang, Minghao Zhao, Chupeng Cui, Zongmin Yang, Xinhui Xue, Hong Qi
2021Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks.
Yunke Zhang, Zhiwei Yang, Bo Yu, Hechang Chen, Yang Li, Xuehua Zhao
2021Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System.
Haizhou Du, Yue Tang
2021TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over Knowledge Graphs.
Jianbin Li, Ketong Qu, Jingchen Yan, Liting Zhou, Long Cheng
2021Text-Aware Recommendation Model Based on Multi-attention Neural Networks.
Gang Qiu, Xiaoli Yu, Liping Jiang, Baoying Ma
2021Towards a Modular Ontology for Cloud Consumer Review Mining.
Emna Ben Abdallah, Khouloud Boukadi, Rima Grati
2021TroBo: A Novel Deep Transfer Model for Enhancing Cross-Project Bug Localization.
Ziye Zhu, Yu Wang, Yun Li