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Graph Sampling Strategies #3

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tanmoyio opened this issue Aug 8, 2023 · 1 comment
Open

Graph Sampling Strategies #3

tanmoyio opened this issue Aug 8, 2023 · 1 comment

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@tanmoyio
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tanmoyio commented Aug 8, 2023

What is sampling, why do we need different sampling strategies, some examples

Algorithms we should cover with source code-

  1. Uniform Random Sampling
  2. Snowball Sampling
  3. Forest Fire Sampling
  4. NodeRank Sampling
  5. Degree-Based Sampling
  6. Stratified Sampling
  7. Metropolis-Hastings Sampling
  8. Subgraph Sampling
  9. Min-cut Sampling
    More ??

Strengths and weaknesses of these algorithms, computational complexity, how to find well suited sampling strategy depending on the graph and its characteristics.
@tanmoyio tanmoyio self-assigned this Aug 8, 2023
@rjurney
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rjurney commented Aug 8, 2023

@tanmoyio check out https://github.com/benedekrozemberczki/littleballoffur - you may be able to use and explain the algorithms there.

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@rjurney @tanmoyio