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1. DynGNN: Dynamic Memory-Enhanced Generative GNNs for Predicting Temporal Brain Connectivity NSTL国家科技图书文献中心

Scarlet Xiao |  Islem Rekik -  《Predictive Intelligence in Medicine》 -  International Conference on Medical Image Computing and Computer Assisted Intervention |  International Workshop on Predictive Intelligence in Medicine - 2025, - 111~123 - 共13页

摘要: alteration of these networks over time, one can detect |  potential to predict the evolution of brain networks from |  a single observation using graph neural networks |  the literature by proposing our novel Dynamic Graph |  combines graph neural networks endowed with a dynamic
关键词: Temporal graph neural network |  Reservoir computing |  Memory capacity |  Time-dependent graph evolution prediction

2. TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers NSTL国家科技图书文献中心

Varghese, Alan John |  Bora, Aniruddha... -  《Neural Networks: The Official Journal of the International Neural Network Society》 - 2024,172 - 106086~106086 - 共6页

摘要: learned time-dependent attention weights across multiple | Dynamic graph embedding has emerged as a very |  effective technique for addressing diverse temporal graph |  analytic tasks (i.e., link prediction, node |  graph generation) in various applications. Such
关键词: Graph embedding |  Transformer |  Dynamic graphs |  Link prediction |  Unsupervised contrastive learning |  Long-term dependencies

3. Federated learning-based trajectory prediction for dynamic resource allocation in moving small cell networks NSTL国家科技图书文献中心

Saniya Zafar |  Sobia Jangsher... -  《Vehicular Communications》 - 2024,47(Jun.) - 100766.1~100766.12 - 共12页

摘要: tocompare the position prediction dependent distributed |  and centralized time interval dependent | With the evolution of fifth generation (5G) of |  prediction of MSCs to predict the trajectory of MSCsin |  advance for efficient prediction of resource allocation
关键词: Deep learning (DL) |  Federated learning (FL) |  Moving small cell (MSC) |  Resource allocation |  Road side unit (RSU) |  Vehicular edge computing (VEC)

4. TE-DyGE: Temporal Evolution-Enhanced Dynamic Graph Embedding Network NSTL国家科技图书文献中心

Liping Wang |  Yanyan Shen... -  《Database Systems for Advanced Applications, Part 3: 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), April 17–20, 2023, Tianjin, China》 -  International Conference on Database Systems for Advanced Applications - 2023, - 183~198 - 共16页

摘要: network (RNN) to capture graph evolution over multiple | Dynamic graph representation has gradually |  real-world graphs evolve over time. Recent works |  typically represent the dynamic graph as a sequence of |  discrete-time subgraphs. However, these approaches fail
关键词: Dynamic Graphs |  Representation Learning

8. Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint NSTL国家科技图书文献中心

Ahmed Nebli |  Ugur Ali Kaplan... -  《Predictive intelligence in medicine :》 -  International Workshop on Predictive Intelligence in Medicine - 2020, - 144~155 - 共12页

摘要: graph evolution prediction error using a single |  evolution. Indeed, predicting the longitudinal (i.e., time |  adversarial network (gGAN) for predicting time-dependent |  brain graph evolution from a single timepoint. Our |  EvoGraphNet architecture cascades a set of time-dependent
关键词: Time-dependent graph evolution prediction |  KL divergence loss |  Graph generative adversarial network |  Cascaded time-dependent generators
NSTL主题词: graph data |  Building construction |  ARCHITECTURE |  synthesis |  Cerebrum |  time-dependent

9. Evolutionary homology on coupled dynamical systems with applications to protein flexibility analysis NSTL国家科技图书文献中心

Cang Zixuan |  Munch Elizabeth... -  《Journal of applied and computational topology》 - 2020,4(4) - 481~507 - 共27页

摘要: time evolution-based filtration and topological |  gives rise to time-dependent topological invariants or |  interactions are approximated by weighted graph Laplacians | . Numerical results for the B-factor prediction of a | Abstract While the spatial topological
关键词: Evolutionary homology |  Local property |  Dynamical systems |  Protein network |  55N31 |  62R40 |  37N25 |  92E10

10. Transport of p-nitrophenol in an agitated bulk liquid membrane system - Experimental and theoretical study by network analysis SCOPUS Scopus数据库 SCIE Web of Science核心 NSTL国家科技图书文献中心

Piotr Szczepanski |  Szidonia K. Tanczos... -  《Separation and Purification Technology》 - 2014,132 - 616~626 - 共11页 - 被引量:10

摘要: the prediction of time dependent-concentration or |  (ABLM). A bond-graph method, based on pseudo |  differential equations) was solved to predict the time |  evolution of local fluxes and concentrations of p | A predictive mathematical model has been
关键词: p-Nitrophenol |  Pertraction |  Liquid membranes |  Transport prediction |  Bond-graph model
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