07 2022 档案
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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摘要：原文：Attentive Path Combination for Knowledge Graph Completion 出版：Proceedings of Machine Learning Research 77:590–605, 2017 代码：未开源 摘要 知识图谱(KG)通常是不完整的，因此
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摘要：原文 Path-based reasoning approach for knowledge graph completion using CNN-BiLSTM with attention mechanism 出版 Expert Systems With Applications 142 (202
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