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[PR #265] [MERGED] Added Little Ball of Fur #274

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opened 2025-11-06 17:16:03 -06:00 by GiteaMirror · 0 comments
GiteaMirror commented 2025-11-06 17:16:03 -06:00
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📋 Pull Request Information

Original PR: https://github.com/oxnr/awesome-bigdata/pull/265
Author: @benedekrozemberczki
Created: 5/18/2020
Status: ✅ Merged
Merged: 7/24/2020
Merged by: @vincentkoc

Base: master ← Head: patch-1

📝 Commits (1)

📊 Changes

1 file changed (+1 additions, -0 deletions)

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📝 README.md (+1 -0)

📄 Description

Little Ball of Fur consists of methods that can sample from graph structured data. To put it simply it is a Swiss Army knife for graph sampling tasks. First, it includes a large variety of vertex, edge, and exploration sampling techniques. Second, it provides a unified application public interface which makes the application of sampling algorithms trivial for end-users. Implemented methods cover a wide range of networking (Networking, INFOCOM, SIGCOMM) and data mining (KDD, TKDD, ICDE) conferences, workshops, and pieces from prominent journals.

🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/oxnr/awesome-bigdata/pull/265 **Author:** [@benedekrozemberczki](https://github.com/benedekrozemberczki) **Created:** 5/18/2020 **Status:** ✅ Merged **Merged:** 7/24/2020 **Merged by:** [@vincentkoc](https://github.com/vincentkoc) **Base:** `master` ← **Head:** `patch-1` --- ### 📝 Commits (1) - [`29ba9cc`](https://github.com/oxnr/awesome-bigdata/commit/29ba9ccb4191cbd487dcaa913983132b66006961) Added Little Ball of Fur ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description Little Ball of Fur consists of methods that can sample from graph structured data. To put it simply it is a Swiss Army knife for graph sampling tasks. First, it includes a large variety of vertex, edge, and exploration sampling techniques. Second, it provides a unified application public interface which makes the application of sampling algorithms trivial for end-users. Implemented methods cover a wide range of networking (Networking, INFOCOM, SIGCOMM) and data mining (KDD, TKDD, ICDE) conferences, workshops, and pieces from prominent journals. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
GiteaMirror added the pull-request label 2025-11-06 17:16:03 -06:00
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Reference: github-starred/awesome-bigdata#274
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