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@Emory-Melody

Emory Melody Lab

The Melody Lab is led by Dr. Wei Jin at Emory University. Melody stands for Machine Learning for Data Analytics.

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  1. awesome-graph-reduction awesome-graph-reduction Public

    [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.

    143 10

  2. awesome-epidemic-modeling-papers awesome-epidemic-modeling-papers Public

    [KDD 2024] Papers about deep learning in epidemic modeling.

    53 2

  3. EpiLearn EpiLearn Public

    A Python Library for Machine Learning in Epidemic Data Modeling and Analysis

    Python 39 5

  4. GraphSlim GraphSlim Public

    A Python library for graph reduction including condensation, coarsening, and sparsification.

    Python 18 3

  5. Awesome-Graph-Neural-Differential-Equations Awesome-Graph-Neural-Differential-Equations Public

    3

Repositories

Showing 5 of 5 repositories
  • Awesome-Graph-Neural-Differential-Equations Public
    Emory-Melody/Awesome-Graph-Neural-Differential-Equations’s past year of commit activity
    3 MIT 0 0 0 Updated Mar 11, 2025
  • GraphSlim Public

    A Python library for graph reduction including condensation, coarsening, and sparsification.

    Emory-Melody/GraphSlim’s past year of commit activity
    Python 18 3 1 0 Updated Mar 9, 2025
  • awesome-graph-reduction Public

    [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.

    Emory-Melody/awesome-graph-reduction’s past year of commit activity
    143 10 0 0 Updated Mar 5, 2025
  • EpiLearn Public

    A Python Library for Machine Learning in Epidemic Data Modeling and Analysis

    Emory-Melody/EpiLearn’s past year of commit activity
    Python 39 MIT 5 1 0 Updated Feb 2, 2025
  • awesome-epidemic-modeling-papers Public

    [KDD 2024] Papers about deep learning in epidemic modeling.

    Emory-Melody/awesome-epidemic-modeling-papers’s past year of commit activity
    53 2 0 0 Updated Oct 3, 2024

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