Works matching DE "GRAPH neural networks"
Results: 1263
Learning and managing stochastic network traffic dynamics: an iterative and interactive approach.
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- Transportmetrica B: Transport Dynamics, 2024, v. 12, n. 1, p. 105, doi. 10.1080/21680566.2024.2303050
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How predictable are macroscopic traffic states: a perspective of uncertainty quantification.
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- Transportmetrica B: Transport Dynamics, 2024, v. 12, n. 1, p. 1, doi. 10.1080/21680566.2024.2314766
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A hybrid deep learning method for distracted driving risk prediction based on spatio-temporal driving behavior data.
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- Transportmetrica B: Transport Dynamics, 2024, v. 12, n. 1, p. 26, doi. 10.1080/21680566.2023.2297144
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Clustering and diagnosis of crack images of tunnel linings via graph neural networks.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 4, p. 825, doi. 10.1080/17499518.2024.2337380
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Prediction of tunnel mechanical behaviour using multi-task deep learning under the external condition.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 1, p. 275, doi. 10.1080/17499518.2023.2182890
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A multi‐perspective fusion model for operating speed prediction on highways using knowledge‐enhanced graph neural networks.
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- Computer-Aided Civil & Infrastructure Engineering, 2025, v. 40, n. 8, p. 1004, doi. 10.1111/mice.13382
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Cover Image, Volume 40, Issue 7.
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- Computer-Aided Civil & Infrastructure Engineering, 2025, v. 40, n. 7, p. 1, doi. 10.1111/mice.13449
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A coarse aggregate particle size classification method by fusing 3D multi‐view and graph convolutional networks.
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- Computer-Aided Civil & Infrastructure Engineering, 2025, v. 40, n. 7, p. 940, doi. 10.1111/mice.13369
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Multifidelity graph neural networks for efficient and accurate mesh‐based partial differential equations surrogate modeling.
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- Computer-Aided Civil & Infrastructure Engineering, 2025, v. 40, n. 7, p. 841, doi. 10.1111/mice.13312
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Modeling of spatially embedded networks via regional spatial graph convolutional networks.
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- Computer-Aided Civil & Infrastructure Engineering, 2025, v. 40, n. 4, p. 427, doi. 10.1111/mice.13286
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Cover Image, Volume 40, Issue 4.
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- Computer-Aided Civil & Infrastructure Engineering, 2025, v. 40, n. 4, p. 1, doi. 10.1111/mice.13426
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- Article
A Method for Sharing English Education Resources in Multiple Virtual Networks Based on 6G.
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- International Journal of Network Management, 2025, v. 35, n. 1, p. 1, doi. 10.1002/nem.2319
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Improving Vapor Pressure Prediction Through Integration of Multiple Molecular Representations: A Super Learner Approach.
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- Journal of Chemometrics, 2025, v. 39, n. 2, p. 1, doi. 10.1002/cem.70003
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Detecting text-level intellectual influence with Knowledge graph embeddings.
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- Information Research, 2025, v. 30, p. 1142, doi. 10.47989/ir30iConf46957
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Drainage Pattern Recognition Method Using Graph Convolutional Networks Combined With Three‐Dimensional Elevation Features.
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- Transactions in GIS, 2025, v. 29, n. 1, p. 1, doi. 10.1111/tgis.70002
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CAPTURE—Computational Analysis and Predictive Techniques for Urban Resource Efficiency.
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- Expert Systems, 2025, v. 42, n. 2, p. 1, doi. 10.1111/exsy.13768
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Heterogeneous graph contrastive learning with adaptive data augmentation for semi‐supervised short text classification.
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- Expert Systems, 2025, v. 42, n. 2, p. 1, doi. 10.1111/exsy.13744
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Structure preservation constraints for unsupervised domain adaptation intracranial vessel segmentation.
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- Medical & Biological Engineering & Computing, 2025, v. 63, n. 3, p. 609, doi. 10.1007/s11517-024-03195-9
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SGP-GCN: A Spatial-Geological Perception Graph Convolutional Neural Network for Long-Term Petroleum Production Forecasting.
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- Energy Engineering, 2025, v. 122, n. 3, p. 1053, doi. 10.32604/ee.2025.060489
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Enhancing user experience: a content-based recommendation approach for addressing cold start in music recommendation.
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- Journal of Intelligent Information Systems, 2025, v. 63, n. 1, p. 183, doi. 10.1007/s10844-024-00872-x
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StructureGraph: a universal performance evaluation method for engineering structures via heterogeneous graph neural network.
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- Structural & Multidisciplinary Optimization, 2025, v. 68, n. 3, p. 1, doi. 10.1007/s00158-025-03969-1
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A Self-Supervised GCN Model for Link Scheduling in Downlink NOMA Networks.
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- EAI Endorsed Transactions on Internet of Things, 2024, v. 10, p. 1, doi. 10.4108/eetiot.6039
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FIORA: Local neighborhood-based prediction of compound mass spectra from single fragmentation events.
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- Nature Communications, 2025, v. 16, p. 1, doi. 10.1038/s41467-025-57422-4
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Bitcoin research with a transaction graph dataset.
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- Scientific Data, 2025, v. 12, n. 1, p. 1, doi. 10.1038/s41597-025-04684-8
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Spatial-Aware Multi-Level Parsing Network for Human-Object Interaction.
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- International Journal of Interactive Multimedia & Artificial Intelligence, 2025, v. 9, n. 2, p. 39, doi. 10.9781/ijimai.2023.06.004
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Structure-to-word dynamic interaction model for abstractive sentence summarization.
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- Neural Computing & Applications, 2025, v. 37, n. 9, p. 6567, doi. 10.1007/s00521-024-10970-0
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DMVL4AVD: a deep multi-view learning model for automated vulnerability detection.
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- Neural Computing & Applications, 2025, v. 37, n. 8, p. 5873, doi. 10.1007/s00521-024-10892-x
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SE-GCL: an event-based simple and effective graph contrastive learning for text representation.
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- Neural Computing & Applications, 2025, v. 37, n. 8, p. 5913, doi. 10.1007/s00521-024-10686-1
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CardioGenAI: a machine learning-based framework for re-engineering drugs for reduced hERG liability.
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- Journal of Cheminformatics, 2025, v. 17, n. 1, p. 1, doi. 10.1186/s13321-025-00976-8
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MLP Feature Extraction from Coordinates for Building Footprint Simplification using Graph Convolutional Networks.
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- Abstracts of the ICA, 2024, v. 8, p. 1, doi. 10.5194/ica-abs-8-11-2024
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Enhancing urban functional regions classification by integrating multi-source data with a heterogeneous graph neural network.
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- Abstracts of the ICA, 2024, v. 7, p. 1, doi. 10.5194/ica-abs-7-191-2024
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Simplification and aggregation of vector building footprints using deep learning models.
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- Abstracts of the ICA, 2024, v. 7, p. 1, doi. 10.5194/ica-abs-7-184-2024
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CSGDN: contrastive signed graph diffusion network for predicting crop gene–phenotype associations.
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- Briefings in Bioinformatics, 2025, v. 26, n. 1, p. 1, doi. 10.1093/bib/bbaf062
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BioGSF: a graph-driven semantic feature integration framework for biomedical relation extraction.
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- Briefings in Bioinformatics, 2025, v. 26, n. 1, p. 1, doi. 10.1093/bib/bbaf025
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Predicting transcriptional changes induced by molecules with MiTCP.
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- Briefings in Bioinformatics, 2025, v. 26, n. 1, p. 1, doi. 10.1093/bib/bbaf006
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Integrating scRNA-seq and scATAC-seq with inter-type attention heterogeneous graph neural networks.
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- Briefings in Bioinformatics, 2025, v. 26, n. 1, p. 1, doi. 10.1093/bib/bbae711
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Deciphering progressive lesion areas in breast cancer spatial transcriptomics via TGR-NMF.
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- Briefings in Bioinformatics, 2025, v. 26, n. 1, p. 1, doi. 10.1093/bib/bbae707
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Towards simplified graph neural networks for identifying cancer driver genes in heterophilic networks.
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- Briefings in Bioinformatics, 2025, v. 26, n. 1, p. 1, doi. 10.1093/bib/bbae691
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R3Design: deep tertiary structure-based RNA sequence design and beyond.
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- Briefings in Bioinformatics, 2025, v. 26, n. 1, p. 1, doi. 10.1093/bib/bbae682
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GADIFF: a transferable graph attention diffusion model for generating molecular conformations.
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- Briefings in Bioinformatics, 2025, v. 26, n. 1, p. 1, doi. 10.1093/bib/bbae676
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scRGCL: a cell type annotation method for single-cell RNA-seq data using residual graph convolutional neural network with contrastive learning.
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- Briefings in Bioinformatics, 2025, v. 26, n. 1, p. 1, doi. 10.1093/bib/bbae662
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ET-PROTACs: modeling ternary complex interactions using cross-modal learning and ternary attention for accurate PROTAC-induced degradation prediction.
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- Briefings in Bioinformatics, 2025, v. 26, n. 1, p. 1, doi. 10.1093/bib/bbae654
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The improved de Bruijn graph for multitask learning: predicting functions, subcellular localization, and interactions of noncoding RNAs.
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- Briefings in Bioinformatics, 2025, v. 26, n. 1, p. 1, doi. 10.1093/bib/bbae627
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Publication recommendation in incomplete networks based on graph learning.
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- Scientometrics, 2025, v. 130, n. 2, p. 565, doi. 10.1007/s11192-024-05219-5
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Accurate POI recommendation for random groups with improved graph neural networks and a multi-negotiation model.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-91805-3
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WCSGNet: a graph neural network approach using weighted cell-specific networks for cell-type annotation in scRNA-seq.
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- Frontiers in Genetics, 2025, p. 1, doi. 10.3389/fgene.2025.1553352
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Gait Phase Prediction of Exoskeleton Robot Enhanced by DGNN Based on Channel Attention Mechanism.
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- Journal of East China University of Science & Technology, 2025, v. 51, n. 1, p. 110, doi. 10.14135/j.cnki.1006-3080.20240229001
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Emotion-RGC net: A novel approach for emotion recognition in social media using RoBERTa and Graph Neural Networks.
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- PLoS ONE, 2025, v. 20, n. 3, p. 1, doi. 10.1371/journal.pone.0318524
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Feature Enhanced Spatial–Temporal Trajectory Similarity Computation.
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- Data Science & Engineering, 2025, v. 10, n. 1, p. 1, doi. 10.1007/s41019-024-00255-w
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MGNN: Moment Graph Neural Network for Universal Molecular Potentials.
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- NPJ Computational Materials, 2025, v. 11, n. 1, p. 1, doi. 10.1038/s41524-025-01541-5
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