Anomaly Detection in Dynamic Graphs via Transformer [PDF]
, 2021 Detecting anomalies for dynamic graphs has drawn increasing attention due to their wide applications in social networks, e-commerce, and cybersecurity. Recent deep learning-based approaches have shown promising results over shallow methods. However, they
Liu, Y +6 more
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TBRm: A Time Representation Method for Industrial Knowledge Graph
Applied Sciences, 2022 With the development of the artificial intelligence industry, Knowledge Graph (KG), as a concise and intuitive data presentation form, has received extensive attention and research from both academia and industry in recent years.
Keyan Cao, Chuang Zheng
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AugGKG: a grid-augmented geographic knowledge graph representation and spatio-temporal query model
International Journal of Digital Earth, 2023 As an emerging knowledge representation model in the domain of knowledge graphs, geographic knowledge graph can take full advantage of semantic, spatial and temporal information to facilitate answering spatio-temporal questions and completing relations ...
Bing Han +6 more
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Temporal knowledge graph reasoning triggered by memories
Applied Intelligence, 2023 Inferring missing facts in temporal knowledge graphs is a critical task and has been widely explored. Extrapolation in temporal reasoning tasks is more challenging and gradually attracts the attention of researchers since no direct history facts for prediction.
Mengnan Zhao 0001 +3 more
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Event-Centric Temporal Knowledge Graph Construction: A Survey
Mathematics, 2023 Textual documents serve as representations of discussions on a variety of subjects. These discussions can vary in length and may encompass a range of events or factual information.
Timotej Knez, Slavko Žitnik
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Spatio-Temporal Graph for Video Captioning With Knowledge Distillation [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 CVPR ...
Boxiao Pan +6 more
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Large scale distributed spatio-temporal reasoning using real-world knowledge graphs [PDF]
, 2019 Most of the existing work in the field of Qualitative Spatial Temporal Reasoning (QSTR) has focussed on comparatively small constraint networks that consist of hundreds or at most thousands of relations. Recently we have seen the emergence of much larger
Mantle, M +5 more
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MOMENT: temporal meta-fact generation and propagation in knowledge graphs [PDF]
, 2020 International audienceThis paper deals with the problem of temporal meta-fact generation in RDF knowledge graphs (KGs). These temporal meta-facts represent the time validity of facts, for instance, is valid for the period [2008..2016].
Malaverri, Joana, E Gonzales +2 more
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Towards symbolic representation-based modeling of Temporal Knowledge Graphs [PDF]
, 2023 Symbolic representation helps us to represent information in a well-defined rule-driven fashion. Currently, there are several ways to represent Knowledge Graphs in general.
Ferretti, Stefano, Munir, Siraj
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Knowledge formalization in experience feedback processes : an ontology-based approach [PDF]
, 2008 Because of the current trend of integration and interoperability of industrial systems, their size and complexity continue to grow making it more difficult to analyze, to understand and to solve the problems that happen in their organizations. Continuous
Kamsu-Foguem, Bernard +3 more
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