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A robust solution for power grid management using a hybrid deterministic and probabilistic model for short term load forecasting. [PDF]
Serttas F.
europepmc +1 more source
Unraveling life expectancy and death spectrum changes of registered residents (hukou) in Quzhou, China, 2015-2023: a study using Arriaga decomposition method. [PDF]
Pan J +5 more
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Physics-Informed GCN-LSTM Framework for Long-Term Forecasting of 2D and 3D Microstructure Evolution
Razavi H, Moelans N.
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IEEE transactions on intelligent transportation systems (Print), 2022
With the emerging connected-vehicle technologies and smart roadways, the need for intelligent adaptive traffic signal controls (ATSC) is more than ever before.
Shan Jiang +3 more
semanticscholar +1 more source
With the emerging connected-vehicle technologies and smart roadways, the need for intelligent adaptive traffic signal controls (ATSC) is more than ever before.
Shan Jiang +3 more
semanticscholar +1 more source
DeGNN: Improving Graph Neural Networks with Graph Decomposition
Knowledge Discovery and Data Mining, 2021Mining from graph-structured data is an integral component of graph data management. A recent trending technique, graph convolutional network (GCN), has gained momentum in the graph mining field, and plays an essential part in numerous graph-related ...
Xupeng Miao +19 more
semanticscholar +1 more source
Comprehensive Image Captioning via Scene Graph Decomposition
European Conference on Computer Vision, 2020We address the challenging problem of image captioning by revisiting the representation of image scene graph. At the core of our method lies the decomposition of a scene graph into a set of sub-graphs, with each sub-graph capturing a semantic component ...
Yiwu Zhong +4 more
semanticscholar +1 more source
The policy graph decomposition of multistage stochastic programming problems
Networks, 2020We propose the policy graph as a structured way of formulating a general class of multistage stochastic programming problems in a way that leads to a natural decomposition. We also propose an extension to the stochastic dual dynamic programming algorithm
Oscar Dowson
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Graph Decomposition of Slim Graphs
Graphs and Combinatorics, 1999Let \(H\) be a fixed graph. An \(H\)-decomposition of an input graph \(G\) is a partition of the edge set of \(G\) such that each part forms a subgraph isomorphic to \(H\). This problem is known to be NP-complete as soon as \(H\) has a component with at least three edges. (This was conjectured by Holyer, and proved independently by \textit{D. Dor} and \
Caro, Yair, Yuster, Raphael
openaire +2 more sources
Cores matter? An analysis of graph decomposition effects on influence maximization problems
Web Science Conference, 2020Estimating the spreading potential of nodes in a social network is an important problem which finds application in a variety of different contexts, ranging from viral marketing to spread of viruses and rumor blocking.
A. Calio, Andrea Tagarelli, F. Bonchi
semanticscholar +1 more source

