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   Articles with "based graph" as a keyword



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A dictionary‐based graph‐cut algorithm for MRI reconstruction

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recommendations! Published in 2020 at "NMR in Biomedicine"

DOI: 10.1002/nbm.4344

Abstract: Compressive sensing (CS)‐based image reconstruction methods have proposed random undersampling schemes that produce incoherent, noise‐like aliasing artifacts, which are easier to remove. The denoising process is critically assisted by imposing sparsity‐enforcing priors. Sparsity is known… read more here.

Keywords: reconstruction; based graph; graph cut; cut algorithm ... See more keywords
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Comparative study of distance-based graph invariants

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recommendations! Published in 2020 at "Journal of Applied Mathematics and Computing"

DOI: 10.1007/s12190-020-01363-2

Abstract: The investigation on relationships between various graph invariants has received much attention over the past few decades, and some of these research are associated with Graffiti conjectures (Fajtlowicz and Waller in Congr Numer 60:187–197, 1987)… read more here.

Keywords: based graph; least three; distance based; distance ... See more keywords

Recognition of building group patterns in topographic maps based on graph partitioning and random forest

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recommendations! Published in 2018 at "Isprs Journal of Photogrammetry and Remote Sensing"

DOI: 10.1016/j.isprsjprs.2017.12.001

Abstract: Abstract Recognition of building group patterns (i.e., the arrangement and form exhibited by a collection of buildings at a given mapping scale) is important to the understanding and modeling of geographic space and is hence… read more here.

Keywords: group patterns; building group; based graph; recognition building ... See more keywords
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Short-term traffic speed forecasting based on graph attention temporal convolutional networks

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.06.001

Abstract: Abstract Accurate and timely traffic forecasting is significant for intelligent transportation management. However, existing approaches model the temporal and spatial features of traffic flow inadequately. To address these limitations, a novel deep learning traffic forecasting… read more here.

Keywords: traffic; based graph; temporal convolutional; attention temporal ... See more keywords

RGN: Residue-Based Graph Attention and Convolutional Network for Protein-Protein Interaction Site Prediction

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recommendations! Published in 2022 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.2c01092

Abstract: The prediction of a protein-protein interaction site (PPI site) plays a very important role in the biochemical process, and lots of computational methods have been proposed in the past. However, the majority of the past… read more here.

Keywords: network; site; prediction; residue based ... See more keywords

Analysis of E-mail Account Probing Attack Based on Graph Mining

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recommendations! Published in 2020 at "Scientific Reports"

DOI: 10.1038/s41598-020-63191-5

Abstract: E-mail has become the main carrier of spreading malicious software and been widely used for phishing, even high-level persistent threats. The e-mail accounts with high social reputation are primary targets to be attacked and utilized… read more here.

Keywords: mail account; based graph; graph mining; account probing ... See more keywords

Synchronization-based graph spatio-temporal attention network for seizure prediction

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-88492-5

Abstract: Epilepsy is a common neurological disorder in which abnormal brain waves propagate rapidly in the brain in the form of a graph network during seizures, and seizures are extremely sudden. So, designing accurate and reliable… read more here.

Keywords: based graph; synchronization based; prediction; network ... See more keywords

GTKNet: a transformer-based graph neural network for predicting molecular properties with KAN and multi-head attention

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recommendations! Published in 2025 at "Molecular Simulation"

DOI: 10.1080/08927022.2025.2523073

Abstract: ABSTRACT With the advancement of science and technology, the application of artificial intelligence in the field of materials science has become a research hotspot, particularly in molecular property prediction and material design. This study proposes… read more here.

Keywords: based graph; gtknet; attention; transformer based ... See more keywords

Structural reinforcement-based graph convolutional networks

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recommendations! Published in 2022 at "Connection Science"

DOI: 10.1080/09540091.2022.2151977

Abstract: Graph Convolutional Network (GCN) is a tool for feature extraction, learning, and inference on graph data, widely applied in numerous scenarios. Despite the great success of GCN, it performs weakly under some application conditions, such… read more here.

Keywords: graph convolutional; reinforcement based; convolutional networks; structural reinforcement ... See more keywords

Node ranking based on graph curvature and PageRank

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recommendations! Published in 2024 at "Chinese Physics B"

DOI: 10.1088/1674-1056/ad9a9b

Abstract: Identifying key nodes in complex networks is crucial for understanding and controlling their dynamics. Traditional centrality measures often fall short in capturing the multifaceted roles of nodes within these networks. The PageRank algorithm, widely recognized… read more here.

Keywords: curvature pagerank; based graph; ranking based; node ranking ... See more keywords

ASUGNN: an asymmetric-unit-based graph neural network for crystal property prediction

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recommendations! Published in 2025 at "Journal of Applied Crystallography"

DOI: 10.1107/s1600576724011336

Abstract: Material properties can often be derived directly from fundamental equations governing electron behavior. In this study, we present an open-source asymmetric-unit-based graph neural network designed to capture atomic patterns and their corresponding electron distributions. By… read more here.

Keywords: based graph; unit based; graph neural; asymmetric unit ... See more keywords