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reading-group

ML, DM, big graph mining, time series mining, anomaly detection, healthcare

Goal

  • promote reading papers
  • rise awareness on current research directions in ML, DM, big graphs, time series, anomaly detection, healthcare communities
  • create opportunity for collaborations

How it works

  • Every week post the papers that you are intereested from by click Issue, and post a new post.
  • Title is the paper's title.
  • Conent must include Authors, Code, Task, Datasets, and anything you would like to comments, such as one-sentence summary, Questions, Sharing, etc. Here is an example: How Powerful Are Graph Networks
  • Other students can answer to questions, or sharing your other comments by post thread. And discussions continues...

Suggested paper pool

KDD 2019 ICLR 2019

How to participate

  • Email me liushenghua at ict.ac.cn for adding you as a contributor of reading-group
  • post/vote for a paper that you like

Good references

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ML, DM, big graph mining, time series mining, anomaly detection

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