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KSEM 2021: Tokyo, Japan
- Han Qiu, Cheng Zhang, Zongming Fei, Meikang Qiu
, Sun-Yuan Kung:
Knowledge Science, Engineering and Management - 14th International Conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12815, Springer 2021, ISBN 978-3-030-82135-7
Knowledge Science with Learning and AI (KSLA)
- Xingwang Wang
Research on Innovation Trends of AI Applied to Medical Instruments Using Informetrics Based on Multi-sourse Information. 3-12 - Cheng Hu
Extracting Prerequisite Relations Among Wikipedia Concepts Using the Clickstream Data. 13-26 - Qingchao Zhao, Jing Yang, Zhengkui Wang, Yan Chu
Clustering Massive-Categories and Complex Documents via Graph Convolutional Network. 27-39 - Yunke Zhang, Zhiwei Yang
Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks. 40-52 - Ya Wang, Cungen Cao, Yuting Cao, Shi Wang:
A Property-Based Method for Acquiring Commonsense Knowledge. 53-65 - Xingyu Liu, Runyu Guan, Tao Wang, Le Han, Yu Qin, Yi Wang:
Multi-hop Learning Promote Cooperation in Multi-agent Systems. 66-77 - Mulin Xu:
FedPS: Model Aggregation with Pseudo Samples. 78-88 - Weidong Zou
Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential. 89-100 - Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu:
Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. 101-114 - Fan Zhang, Junyou Zhu, Zheng Luo, Zhen Wang, Li Tao, Chao Gao:
Community Detection in Dynamic Networks: A Novel Deep Learning Method. 115-127 - Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang
Additive Noise Model Structure Learning Based on Rank Statistics. 128-139 - Yibing Zhao, Wenjun Ma, Yuncheng Jiang, Jieyu Zhan:
A MOOCs Recommender System Based on User's Knowledge Background. 140-153 - Jianbin Li, Ketong Qu, Jingchen Yan, Liting Zhou
TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over Knowledge Graphs. 154-165 - Wenying Feng
Representing Knowledge Graphs with Gaussian Mixture Embedding. 166-178 - Ze Yin, Yue Deng, Fan Zhang, Zheng Luo, Peican Zhu
A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection. 179-190 - Shi Peng, Yong Zhang, Yuanfang Yu, Haoyang Zuo, Kai Zhang:
Named Entity Recognition Based on Reinforcement Learning and Adversarial Training. 191-202 - Ding Sun, Zhen Huang, Dongsheng Li, Xiangyu Ye, Yilin Wang:
Improved Partitioning Graph Embedding Framework for Small Cluster. 203-215 - Xiaohan Zhang, Xinning Zhu, Jie Wu, Zheng Hu, Chunhong Zhang:
A Framework of Data Fusion Through Spatio-Temporal Knowledge Graph. 216-228 - Xinyi Xu, Yan Tang, Zhuoming Xu
SEGAR: Knowledge Graph Augmented Session-Based Recommendation. 229-241 - Haizhou Du, Yue Tang:
Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System. 242-254 - Wei-Peng Cao, Sheng-Dong Li, Cheng-Chao Huang, Yu-Hao Wu, Qiang Wang, Da-Chuan Li, Ye Liu:
An Ensemble Fuzziness-Based Online Sequential Learning Approach and Its Application. 255-267 - Mengdan Wang, Chao Peng, Rui Yang, Chenchao Wang, Yao Chen, Xiaohua Yu:
GASKT: A Graph-Based Attentive Knowledge-Search Model for Knowledge Tracing. 268-279 - Renjie Zhu, Ping Wei, Sheng Li, Zhaoxia Yin, Xinpeng Zhang, Zhenxing Qian:
Fragile Neural Network Watermarking with Trigger Image Set. 280-293 - Yashen Wang, Huanhuan Zhang:
Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion Task. 294-306 - Arpad Kerestely, Alexandra Baicoianu
A Research Study on Running Machine Learning Algorithms on Big Data with Spark. 307-318 - Xiaowu Zhang, Li Li:
Attentional Neural Factorization Machines for Knowledge Tracing. 319-330 - Di Qiao, Wu Yang, Wei Wang:
Node-Image CAE: A Novel Embedding Method via Convolutional Auto-encoder and High-Order Proximities. 331-345 - Yuejia Wu, Jiantao Zhou:
EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning. 346-356 - Bo Li, Bin Chen, Yunxiao Wang
Knowledge Distillation via Channel Correlation Structure. 357-368 - Jiachuan Li
Feature Interaction Convolutional Network for Knowledge Graph Embedding. 369-380 - Emna Ben Abdallah
Towards a Modular Ontology for Cloud Consumer Review Mining. 381-394 - Shihong Jiang, Zheng Luo, Ze Yin, Zhen Wang, Songxin Wang, Chao Gao:
Identification of Critical Nodes in Urban Transportation Network Through Network Topology and Server Routes. 395-407 - Hui Tang, Xun Liang, Bo Wu, Zhenyu Guan, Yuhui Guo
Graph Ensemble Networks for Semi-supervised Embedding Learning. 408-420 - Xinyu Jiang, Chongyang Shi, Shufeng Hao, Dequan Yang, Chaoqun Feng:
Rethinking the Information Inside Documents for Sentiment Classification. 421-432 - Zekun Li
Dependency Parsing Representation Learning for Open Information Extraction. 433-444 - Mingming Zheng, Yanquan Zhou, Qingyao Cui:
Hierarchical Policy Network with Multi-agent for Knowledge Graph Reasoning Based on Reinforcement Learning. 445-457 - ShaoLin Zhu, Chenggang Mi, Linlin Zhang:
Inducing Bilingual Word Representations for Non-isomorphic Spaces by an Unsupervised Way. 458-466 - Jing Liao, Zhixiang Yi:
A Deep Learning Model Based on Neural Bag-of-Words Attention for Sentiment Analysis. 467-478 - Cong Ding, Xiao Wei
Graph Attention Mechanism with Cardinality Preservation for Knowledge Graph Completion. 479-490 - Tingting Tang, Wei Liu, Weimin Li, Jinliang Wu, Haiyang Ren:
Event Relation Reasoning Based on Event Knowledge Graph. 491-503 - Dou Hu
PEN4Rec: Preference Evolution Networks for Session-Based Recommendation. 504-516 - Yao Dong
HyperspherE: An Embedding Method for Knowledge Graph Completion Based on Hypersphere. 517-528 - Ziye Zhu, Yu Wang
TroBo: A Novel Deep Transfer Model for Enhancing Cross-Project Bug Localization. 529-541 - Yuhong He, Yan Tang:
A Neural Language Understanding for Dialogue State Tracking. 542-552 - Zhiyuan Wu
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer. 553-565 - Nan Zhang, Li Li:
Knowledge Tracing with Exercise-Enhanced Key-Value Memory Networks. 566-577 - Xiuting Song, Han Zhang, Luyi Bai:
Entity Alignment Between Knowledge Graphs Using Entity Type Matching. 578-589 - Gang Qiu
Text-Aware Recommendation Model Based on Multi-attention Neural Networks. 590-603 - Qing Zhong, Yan Tang:
Chinese Named Entity Recognition Based on Gated Graph Neural Network. 604-613 - Xuxing Liu, Xiaoqin Tang, Shanxiong Chen:
Learning a Similarity Metric Discriminatively with Application to Ancient Character Recognition. 614-626 - Nan Qiu, Boyu Gao, Feiran Huang, Huawei Tu, Weiqi Luo:
Incorporating Global Context into Multi-task Learning for Session-Based Recommendation. 627-638 - Jingyi Liu, Yanyan Zhao, Limin Liu, Shijie Jia:
Exploring Sequential and Collaborative Contexts for Next Point-of-Interest Recommendation. 639-655 - Xiaotong Li, Yan Tang
Predicting User Preferences via Heterogeneous Information Network and Metric Learning. 656-665 - Xi Wang, Chuantao Yin, Xin Fan, Si Wu, Lan Wang:
An IoT Ontology Class Recommendation Method Based on Knowledge Graph. 666-678 - Junchao Lv, Linjiang Zheng, Longquan Liao, Xin Chen:
Ride-Sharing Matching of Commuting Private Car Using Reinforcement Learning. 679-691 - Hejun Wang, Hongjun Dai, Meikang Qiu, Meiqin Liu:
Optimization of Remote Desktop with CNN-based Image Compression Model. 692-703
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