Deep Model-Based Security-Aware Entity Alignment Method for Edge-Specific Knowledge Graphs
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[1] Xiao Wang,et al. Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs , 2022, IEEE/CAA Journal of Automatica Sinica.
[2] Chuangang Zhao,et al. Knowledge Graph and GNN-Based News Recommendation Algorithm With Edge Computing Support , 2022, Int. J. Distributed Syst. Technol..
[3] I. Chong,et al. Deep Learning based Semantic Ontology Alignment Process and Predictive Analysis of Depressive Disorder , 2022, 2022 International Conference on Information Networking (ICOIN).
[4] Jinsong Bao,et al. A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing , 2022, Adv. Eng. Informatics.
[5] Yingtao Niu,et al. Building and Applying Knowledge Graph in Edge Analytics Environment , 2022, Journal of Physics: Conference Series.
[6] Lianyong Qi,et al. Multi-source temporal knowledge graph embedding for edge computing enabled internet of vehicles , 2021, Neurocomputing.
[7] D. Dold,et al. An energy-based model for neuro-symbolic reasoning on knowledge graphs , 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
[8] J. Akroyd,et al. Universal Digital Twin - A Dynamic Knowledge Graph , 2021, Data-Centric Engineering.
[9] D. Dold,et al. Machine learning on knowledge graphs for context-aware security monitoring , 2021, 2021 IEEE International Conference on Cyber Security and Resilience (CSR).
[10] Rui Zhang,et al. A benchmark and comprehensive survey on knowledge graph entity alignment via representation learning , 2021, The VLDB Journal.
[11] Gautam Srivastava,et al. HUNA: A Method of Hierarchical Unsupervised Network Alignment for IoT , 2021, IEEE Internet of Things Journal.
[12] Meng Ma,et al. RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment , 2021, PAKDD.
[13] Anca Delia Jurcut,et al. Survey on Multi-Access Edge Computing Security and Privacy , 2021, IEEE Communications Surveys & Tutorials.
[14] Jongmo Kim,et al. Layered ontology-based multi-sourced information integration for situation awareness , 2021, The Journal of Supercomputing.
[15] Derong Shen,et al. An integrated pipeline model for biomedical entity alignment , 2021, Frontiers Comput. Sci..
[16] Philippe Calvez,et al. Knowledge Graph Management on the Edge , 2020, EDBT.
[17] Jianliang Gao,et al. Entity Alignment across Power Knowledge Graphs , 2020, 2020 IEEE 2nd International Conference on Power Data Science (ICPDS).
[18] Qiang Liu,et al. A Group Recommendation System of Network Document Resource Based on Knowledge Graph and LSTM in Edge Computing , 2020, Secur. Commun. Networks.
[19] Quoc Viet Hung Nguyen,et al. Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks , 2020, IEEE Transactions on Knowledge and Data Engineering.
[20] Konstantin Ryabinin,et al. Ontology-Driven Edge Computing , 2020, ICCS.
[21] Shiping Wang,et al. A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks , 2020, Electronics.
[22] Laurence T. Yang,et al. Heterogeneous edge computing open platforms and tools for internet of things , 2020, Future Gener. Comput. Syst..
[23] Wei Hu,et al. A benchmarking study of embedding-based entity alignment for knowledge graphs , 2020, Proc. VLDB Endow..
[24] Xiaojun Chen,et al. A review: Knowledge reasoning over knowledge graph , 2020, Expert Syst. Appl..
[25] 知秀 柴田. 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding , 2020 .
[26] Wenting Wang,et al. MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph , 2020, WSDM.
[27] Hanghang Tong,et al. Graph convolutional networks: a comprehensive review , 2019, Computational Social Networks.
[28] Chengjiang Li,et al. Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model , 2019, EMNLP.
[29] Dongyan Zhao,et al. Jointly Learning Entity and Relation Representations for Entity Alignment , 2019, EMNLP.
[30] Wazir Zada Khan,et al. Edge computing: A survey , 2019, Future Gener. Comput. Syst..
[31] Rui Zhang,et al. Entity Alignment between Knowledge Graphs Using Attribute Embeddings , 2019, AAAI.
[32] Chengjiang Li,et al. Multi-Channel Graph Neural Network for Entity Alignment , 2019, ACL.
[33] Yuanqiao Wen,et al. Construction of Knowledge Graphs for Maritime Dangerous Goods , 2019, Sustainability.
[34] Yuting Wu,et al. Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs , 2019, IJCAI.
[35] Yansong Feng,et al. Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network , 2019, ACL.
[36] Jian-Yun Nie,et al. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space , 2018, ICLR.
[37] Wei Hu,et al. Bootstrapping Entity Alignment with Knowledge Graph Embedding , 2018, IJCAI.
[38] Steven Skiena,et al. Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment , 2018, IJCAI.
[39] Xu Chen,et al. Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing , 2018, 2018 IEEE/ACM 26th International Symposium on Quality of Service (IWQoS).
[40] Chuan Sheng Foo,et al. Efficient GAN-Based Anomaly Detection , 2018, ArXiv.
[41] Vincent Dumoulin,et al. Generative Adversarial Networks: An Overview , 2017, 1710.07035.
[42] Wei Hu,et al. Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding , 2017, SEMWEB.
[43] Pasquale Minervini,et al. Convolutional 2D Knowledge Graph Embeddings , 2017, AAAI.
[44] Vít Novácek,et al. Identifying Equivalent Relation Paths in Knowledge Graphs , 2017, LDK.
[45] Junlong Zhang,et al. Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network , 2017 .
[46] Dario Pompili,et al. Collaborative Mobile Edge Computing in 5G Networks: New Paradigms, Scenarios, and Challenges , 2016, IEEE Communications Magazine.
[47] Heiko Paulheim,et al. Knowledge graph refinement: A survey of approaches and evaluation methods , 2016, Semantic Web.
[48] Carlo Zaniolo,et al. Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment , 2016, IJCAI.
[49] Yasemin Koçak Usluel,et al. An Analysis of Density and Degree-Centrality According to the Social Networking Structure Formed in an Online Learning Environment , 2016, J. Educ. Technol. Soc..
[50] Peter Kilpatrick,et al. Challenges and Opportunities in Edge Computing , 2016, 2016 IEEE International Conference on Smart Cloud (SmartCloud).
[51] Weisong Shi,et al. Edge Computing: Vision and Challenges , 2016, IEEE Internet of Things Journal.
[52] Jun Zhao,et al. Knowledge Graph Embedding via Dynamic Mapping Matrix , 2015, ACL.
[53] Huanbo Luan,et al. Modeling Relation Paths for Representation Learning of Knowledge Bases , 2015, EMNLP.
[54] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[55] Juanzi Li,et al. A comprehensive survey of entity alignment for knowledge graphs , 2021, AI Open.
[56] Chaoran Zhou,et al. Entity Alignment Method of Points of Interest for Internet Location-Based Services , 2020, J. Adv. Comput. Intell. Intell. Informatics.
[57] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[58] Lei Zhang,et al. An IoT Unified Access Platform for Heterogeneity Sensing Devices Based on Edge Computing , 2019, IEEE Access.
[59] Zhichun Wang,et al. Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks , 2018, EMNLP.
[60] Zhiyuan Liu,et al. Iterative Entity Alignment via Knowledge Embeddings , 2017 .
[61] Sören Auer,et al. KBox — Transparently Shifting Query Execution on Knowledge Graphs to the Edge , 2017, 2017 IEEE 11th International Conference on Semantic Computing (ICSC).
[62] Cassidy R. Sugimoto,et al. Degree, Closeness, and Betweenness: Application of group centrality measurements to explore macro-disciplinary evolution diachronically , 2013 .