(1)We provide a comprehensive review of the knowledge graph covering overall research topics. (2)We propose a full-view categorization and new taxonomies on these topics. (3)We further explore several emerging
Knowledge graph (KG), with rich semantic and structural relationships, has shown great potential in addressing these issues. In this paper, we provide a comprehensive literature review of recent advances in CTR prediction based on KG. Specifically, we categorize various approaches into embedding-based...
A Survey on Application of Knowledge Graph 2020, Journal of Physics: Conference Series Named Entity Extraction for Knowledge Graphs: A Literature Overview 2020, IEEE Access Relext: Relation extraction using deep learning approaches for cybersecurity knowledge graph improvement 2019, Proceedings of the 20...
(4)长期以来,转导推理模型不断出现,对学术研究和工业应用产生了巨大影响。 Temporal Knowledge Graph. Temporal knowledge graph (KG) is defined as a sequence of static KGs at different timestampsTKG=\{SKG_1, SKG_2, SKG_3, ··· , SKG_t\}. The KG snapshot at timestamp t is defined asSK...
论文阅读笔记:A Survey on Knowledge Graph-Based Recommender Systems,程序员大本营,技术文章内容聚合第一站。
[论文阅读笔记17]A Survey on Knowledge Graph-Based Recommender Systems,程序员大本营,技术文章内容聚合第一站。
Finally, we conducted experiments on two benchmark datasets to report comprehensive findings and provide some new insights into the strengths and weaknesses of existing models. Keywords: link prediction; knowledge graph embedding; knowledge graph completion; survey...
Nonetheless, the definition of KGs can vary based on the application context. In biomedicine, they can be characterized as data structures meant to gather and disseminate real-world knowledge, where nodes depict significant biomedical entities and the edges delineate diverse relationships that could ...
A Survey of Surveys (NLP & ML) In this document, we survey hundreds of survey papers on Natural Language Processing (NLP) and Machine Learning (ML). We categorize these papers into popular topics and do simple counting for some interesting problems. In addition, we show the list of the pa...
accessibility, interoperability, and reusability. We demonstrate the practical application of our framework by linking two robots in Cambridge and Singapore for a collaborative closed-loop optimisation for a pharmaceutically-relevant aldol condensation reaction in real-time. The knowledge graph autonomously ev...