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sigmod2024 4.15截止投稿
https://2024.sigmod.org/calls_papers_important_dates.shtml

icde2024 7.15截止投稿
https://waset.org/data-engineering-conference-in-july-2024-in-vienna

vldb2024 20th of each month until 2024.3截止投稿

需要干的事:

方案:

  • 算法加速效果是对所有图都一样的吗还是会受图性质怎样的影响
    • 图性质(参考社交网络选修课学的图性质):度分布等分布,直径等测度参数,kcore等聚集参数
    • 加速效果和图性质的关系:直接的解释
    • base:
      • 路径问题,算法效果一定和图性质有关系
      • 若论文中写算法效果的时候,说明适用于哪种图并解释为啥,或者对于不同性质的图有不同的效果以及原因,这样对问题的研究更全面

论文:

2月:

  • 调研下述:还是不是很确定我们的idea是否已经有人做了
    • 单点对最大流:对于拆分图性质的利用是否已经有人研究
  • 写method
  • 写experiment
    • 补充实验
      • 加数据集
    • 对比实验all-to-one
      3月:
  • 对比实验all-to-one
  • 写related work
    • 整理已经调研的work
    • 调研sigmod和vldb:调研也让你更加清楚你的key findings是哪些,有多重要
    • 调研disjoint path
  • idea改进和实验

投稿要求

sigmod2024

https://2024.sigmod.org/calls_papers_sigmod_research.shtml

Length

  • Length for submitted papers: The main content of the paper must be no more than 12 pages in length for Data Management papers,8 pages for Data Science papers, and 8 pages for the Data-centric Applications papers, although we will allow an unlimited number of pages for the bibliography. No appendix will be allowed
  • Length for revised and camera ready papers: the length of camera ready papers can be up to: 13 pages (+ unlimited references) for the Data Management papers and 9 pages (+ unlimited references) for the Data Science and Data-centric Applications papers.

format

sample-sigconf.tex template provided at https://www.acm.org/publications/proceedings-template for LaTeX (version 2e)

Submission website

https://cmt3.research.microsoft.com/SIGMOD2024

artifacts and reproducibility

we expect all papers to make their code, data, scripts, and notebooks available if this is possible
the link and materials should preserve anonymity. For example this may be an anonymous GitHub repository.
You may want to make sure that the link you provide is not indexed by search engines. On GitHub, you can do so by adding the following to the page head:
<meta name="robots" content="noindex">
a reasonably clean version of the state of the code

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