Simplifying continuous-time quantum walks on dynamic graphs
Sign Up to like & getrecommendations! Published in 2022 at "Quantum Information Processing"
DOI: 10.1007/s11128-021-03403-7
Abstract: A continuous-time quantum walk on a dynamic graph evolves by Schrödinger’s equation with a sequence of Hamiltonians encoding the edges of the graph. This process is universal for quantum computing, but in general, the dynamic… read more here.
Keywords: dynamic graphs; dynamic graph; time quantum; continuous time ... See more keywords
Dynamic graph convolutional networks with Temporal representation learning for traffic flow prediction
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-01696-7
Abstract: In the realm of traffic prediction, emerging are methodologies founded on graph convolutional networks. Nonetheless, existing approaches grapple with issues encompassing insufficient sharing patterns, dependence on static relationship presumptions, and an inability to effectively grasp… read more here.
Keywords: temporal representation; graph convolutional; traffic flow; dynamic graph ... See more keywords
Traffic Flow Prediction Model Based on Transformer and Dynamic Graph Convolutional Networks
Sign Up to like & getrecommendations! Published in 2025 at "IET Intelligent Transport Systems"
DOI: 10.1049/itr2.70111
Abstract: Traffic congestion is a major challenge in urban life, and traffic flow prediction, as a critical task in intelligent transportation management, can effectively alleviate congestion and enhance traffic control efficiency. Although deep learning models have… read more here.
Keywords: graph convolutional; traffic flow; prediction; dynamic graph ... See more keywords
Dynamic graph convolutional networks for fluid identification of well logging data transformed through the gram angle field
Sign Up to like & getrecommendations! Published in 2024 at "Physics of Fluids"
DOI: 10.1063/5.0187610
Abstract: Accurately predicting the fluids holds immense significance in exploration work, assisting in the identification of exploration targets, estimation of reserve potential, and evaluation of reservoirs. In our research, we employed an innovative approach by using… read more here.
Keywords: field; angle field; time; gram angle ... See more keywords
STMGraph: spatial-context-aware of transcriptomes via a dual-remasked dynamic graph attention model
Sign Up to like & getrecommendations! Published in 2024 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbae685
Abstract: Abstract Spatial transcriptomics (ST) technologies enable dissecting the tissue architecture in spatial context. To perceive the global contextual information of gene expression patterns in tissue, the spatial dependence of cells must be fully considered by… read more here.
Keywords: domain clustering; spatial domain; context aware; spatial context ... See more keywords
An Efficient Snapshot Strategy for Dynamic Graph Storage Systems to Support Historical Queries
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2994242
Abstract: Large-scale dynamic graphs typically involve big data. Recently a dynamic graph storage system is required to be capable of recreating any historical state to support historical queries. A typical storage solution supporting historical queries is… read more here.
Keywords: support historical; historical queries; graph storage; strategy ... See more keywords
Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3082932
Abstract: Dynamic networks are used in a wide range of fields, including social network analysis, recommender systems and epidemiology. Representing complex networks as structures changing over time allow network models to leverage not only structural but… read more here.
Keywords: dynamic networks; neural networks; graph neural; survey ... See more keywords
Spatial-Similarity Dynamic Graph Bidirectional Double-Cell Network for Traffic Flow Prediction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3579138
Abstract: Accurate traffic flow prediction plays a pivotal role in optimizing urban transportation systems and improving traffic management efficacy. To address the limitations of existing methods in modeling complex spatial-temporal dependencies within dynamic traffic networks, this… read more here.
Keywords: bidirectional double; similarity dynamic; dynamic graph; spatial similarity ... See more keywords
Multi-Scale Spatiotemporal Dynamic Graph Neural Network for Early Prediction of Mortality Risks in Heart Failure Patients
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2025.3574566
Abstract: Heart Failure (HF) stands as a principal public health issue worldwide, imposing a significant burden on healthcare systems. While existing prognostic methods have achieved certain milestones in predicting the early mortality risk of HF patients,… read more here.
Keywords: spatiotemporal dynamic; mortality; scale spatiotemporal; multi scale ... See more keywords
Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3097275
Abstract: The registration of point clouds is a key ingredient of LiDAR-based SLAM systems and mapping approaches. A challenging task in this context is finding the right data association between 3D points. This paper proposes a… read more here.
Keywords: keypoint matching; dynamic graph; attention; graph ... See more keywords
Dynamic Graph Optimization and Performance Evaluation for Delay-Tolerant Aeronautical Ad Hoc Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2021.3085898
Abstract: With the growing interest in providing internet access and cellular connectivity in the commercial aircraft, the compatibility between Air-to-Air (A2A) communications and current Air-to-Ground (A2G) macro-cellular communications is necessary to form an Aeronautical Ad hoc… read more here.
Keywords: aeronautical hoc; delay; transmission; hoc network ... See more keywords