随笔分类 - 论文阅读报告
摘要：原文 Knowledge Graph Reasoning with Relational Digraph 出版 Yongqi Zhang and Quanming Yao 2022 In Proceedings of the ACM Web Conference 2022 (WWW '22) Ass
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摘要：原文 Diachronic Embedding for Temporal Knowledge Graph Completion 出版 The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 申明 版权归原文作者及出
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摘要：原文 A Cybersecurity Ontology to Support Risk Information Gathering in Cyber-Physical Systems 出版 Computer Security. ESORICS 2021 International Workshops
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摘要：原文 Ontology-based Attack Graph Enrichment 出版 Cryptography and Security arXiv:2202.04016 https://arxiv.org/abs/2202.04016 申明 版权归原文作者及出版单位所有，如有侵权请联系删除 摘
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摘要：原文 Context-Aware Ontology-based Security Measurement Model 出版 Journal of Information Security and Applications Volume 67 June 2022 103199 申明 版权归原文作者及出
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摘要：原文 Attack Dynamics: An Automatic Attack Graph Generation Framework Based on System Topology, CAPEC, CWE, and CVE Databases 出版 Computers & Security Vol
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摘要：原文 Multi-Scale Dynamic Convolutional Network for Knowledge Graph Embedding 出版 IEEE Transactions on Knowledge and Data Engineering Volume: 34 Issue: 5
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摘要：原文 Hierarchical Neighbor Propagation With Bidirectional Graph Attention Network for Relation Prediction 出版 IEEE/ACM Transactions on Audio, Speech and
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摘要：原文 Joint semantics and data-driven path representation for knowledge graph reasoning 出版 Neurocomputing Volume 483 Issue C Apr 2022 pp 249–261 https://
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摘要：原文 Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods 出版 CIKM '18: Proceedings of the 27th ACM Internatio
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摘要：原文 Modeling Relational Data with Graph Convolutional Networks 出版 The Semantic Web. ESWC 2018. Lecture Notes in Computer Science(), vol 10843. Springer
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摘要：原文 Path-based reasoning with constrained type attention for knowledge graph completion 出版 Neural Computing and Applications Volume 32 Issue 11 Jun 202
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摘要：原文 AMADEUS: Towards the AutoMAteD secUrity teSting 出版 SPLC '20: Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume A
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摘要：原文 KRYSTAL: Knowledge graph-based framework for tactical attack discovery in audit data 出版 Computer & Security 121 (2022) 102828 代码 https://github.com
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摘要：原文 EIGAT: Incorporating global information in local attention for knowledge representation learning 出版 Knowledge-Based Systems 237 (2022) 107909 代码 未开
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摘要：原文: Random Walk Inference and Learning in A Large Scale Knowledge Base 出版: Proceedings of the Conference on Empirical Methods in Natural Language Proc
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摘要：原文：Compositional Vector Space Models for Knowledge Base Completion 出版：arXiv:1504.06662 [cs.CL] 代码：未开源 数据集：http://iesl.cs.umass.edu/downloads//inferenc
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摘要：原文：Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks 出版：arXiv:1607.01426 [cs.CL] 代码：https://rajarshd.github.io/Ch
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摘要：原文: Modeling Relation Paths for Representation Learning of Knowledge Bases 出版: arXiv：1506.00379 [cs.CL] 代码：https://github.com/Mrlyk423/Relation_Extrac
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