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  • RapidFlow - GitHub
    To address these two problems, we propose RapidFlow, an effective approach to CSM First, we design a query reduction technique, which reduces CSM to batch subgraph matching (BSM) where we enumerate all results in a region of 𝐺 that will be affected by the update
  • RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for . . .
    fully recurrent encoder-decoder structure to estimate optical flow with reduced computational costs Our RAPIDFlow model has a recurrent encoder that can be dynamically chan ed during inference to produce feature pyramids of various lengths to better adapt to the input size The experiments on an embedded system show that our model can
  • RapidFlow: An Eficient Approach to Continuous Subgraph Matching
    Furthermore, RapidFlow dramatically reduces the number of queries that cannot be resolved within a time limit (60 minutes) In summary, we make the following contributions in this paper:
  • RapidFlow: an efficient approach to continuous subgraph matching . . .
    To address these two problems, we propose RapidFlow, an effective approach to CSM First, we design a query reduction technique, which reduces CSM to batch subgraph matching (BSM) where we enumerate all results in a region of G that will be affected by the update
  • RapidFlow | ThermoAnalytics
    RapidFlow™ is a 3D flow solver integrated with TAITherm™ and MuSES™, designed for airflow applications and convection heat transfer analysis It offers fast, high-fidelity results, works on complex geometries, and is easy to use with minimal setup time
  • 论文导读 | 连续图上的子图匹配(Continuous Subgraph Matching) - 知乎
    动态图 上的研究工作大体可以分成两类,第一类是不维护索引结构每次重新计算的,例如IncIsoMatch, Graphflow, RapidFlow 等。 第二类是设计一些特殊的辅助索引结构加速计算的,有 SJ-Tree, TurboFlux, IEDyn, SymBi。
  • Rapidflow: Oracle Solutions and Cloud Services Partner
    Transform your business with Rapidflow, a trusted Oracle partner offering cloud solutions, managed services, ERP integration, and more
  • rapidflow - rapidFlow - 一个快速执行微实验且易于扩展的框架。_PyPI中文网
    rapidFlow 是基于 Pytorch 构建的,因此请确保您已安装 PyTorch。 从 Pip 安装包中: pip install rapidflow 使用克隆的存储库安装包: pip install -e src 去做: 将实验库移动到另一个仓库 使用 gpu 在 docker 容器中进行实验? (或奇点) 在多个 GPU 上测试 测试和propper doku 显着




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