Results 21 to 30 of about 8,905,265 (199)
Optimal temporal planning using the plangraph framework [PDF]
, 2007 The past few years have seen a rapid development in AI Planning and Scheduling. Many algorithms and techniques have been studied and improved to deal with more complex and difficult planning domains.
Dinh, Tien Ba
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Data, 2023 Temporal knowledge graphs can be used to represent the current state of the world and, as daily events happen, the need to update the temporal knowledge graph, in order to stay consistent with the state of the world, becomes very important.
Ryan Ong +3 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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Towards a Maude tool for model checking temporal graph properties [PDF]
, 2011 We present our prototypical tool for the verification of graph transformation systems. The major novelty of our tool is that it provides a model checker for temporal graph properties based on counterpart semantics for quantified m-calculi.
Lluch-Lafuente, Alberto +4 more
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Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting
, 2023 Recent studies have shifted their focus towards formulating traffic forecasting as a spatio-temporal graph modeling problem. Typically, they constructed a static spatial graph at each time step and then connected each node with itself between adjacent ...
Philip S. Yu +15 more
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Graph-based implicit knowledge discovery from architecture change logs [PDF]
, 2012 Service architectures continuously evolve as a consequence of frequent business and technical change cycles. Architecture change log data represents a source of evolution-centric information in terms of intent, scope and operationalisation to ...
Pooyan Jamshidi (5276344) +12 more
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A Spatial-Temporal Graph Mining Algorithm Based on Spatial-Temporal Sparse Attention [PDF]
Jisuanji gongcheng, 2023 Existing spatial-temporal graph mining algorithms are typically based on static graph structures, which are pre-defined by experts or constructed via feature augmentation.These static graph structures rely on subjective prior knowledge and are not easily
XIE Yi, WANG Qiang, LI Haihong, JIN Cheng, REN Hongrun, XUE Wen, XIONG Yun
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Survey on Construction Method of Temporal Knowledge Graph [PDF]
Jisuanji kexue yu tansuoAs a bridge connecting data, knowledge, and intelligence, knowledge graph has been widely applied in fields such as search assistance, intelligent recommendation, question-answering systems, and natural language processing. However, with the expansion of
LU Jiamin, ZHANG Jing, FENG Jun, AN Qi
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Exploiting a graphplan framework in temporal planning [PDF]
, 2003 Graphplan (Blum and Furst 1995) has proved a popular and successful basis for a succession of extensions. An extension to handle temporal planning is a natural one to consider, because of the seductively time-like structure of the layers in the plan ...
Maria Fox, Long, D., Fox, M., Derek Long
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Modeling the evolution of temporal knowledge graphs with uncertainty
CoRR, 2023 Forecasting future events is a fundamental challenge for temporal knowledge graphs (tKG). As in real life predicting a mean function is most of the time not sufficient, but the question remains how confident can we be about our prediction? Thus, in this work, we will introduce a novel graph neural network architecture (WGP-NN) employing (weighted ...
Soeren Nolting +2 more
openaire +3 more sources