yueliu1999/Awesome-Deep-Graph-Clustering

• highreadme#1

  Reposition README opening to emphasize its definitive resource status

  原因：

  当前

  ADGC is a collection of state-of-the-art (SOTA), novel deep graph clustering methods (papers, codes and datasets).

  复制粘贴的修复

  复制

  ADGC is the definitive, comprehensive collection of state-of-the-art (SOTA) and novel deep graph clustering methods, including curated papers, code implementations, and datasets. It serves as an essential resource for researchers and practitioners seeking to explore or contribute to this rapidly evolving field.

  待办完成忽略
• highabout#2

  Fill missing homepage metadata with repository URL

  原因：

  复制粘贴的修复

  复制

  https://github.com/yueliu1999/Awesome-Deep-Graph-Clustering

  待办完成忽略
• mediumreadme#3

  Add a 'Comparison' section to differentiate from general GNN libraries

  原因：

  复制粘贴的修复

  复制

  ## Comparison with Other Resources
  
  Unlike general graph neural network libraries (e.g., PyTorch Geometric, DGL) or broad research platforms (e.g., Papers With Code), ADGC specifically curates and focuses exclusively on *deep graph clustering* methods. Our aim is to provide a dedicated, in-depth resource for this specialized domain, offering direct links to papers, code, and datasets for focused research.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Where can I find state-of-the-art deep learning methods for clustering graph data?

  你：未被推荐
  AI 推荐顺序：

  1. PyTorch Geometric (PyG)
  2. Deep Graph Library (DGL)
  3. Papers With Code
  4. Spektral
  5. StellarGraph
  6. Awesome Graph Neural Networks

  AI 推荐了 6 个替代方案，却始终没点名 yueliu1999/Awesome-Deep-Graph-Clustering。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are the latest self-supervised graph neural network techniques for robust data clustering?

  你：未被推荐
  AI 推荐顺序：

  1. DCRN
  2. BGRL
  3. GraphMAE
  4. GRACE
  5. GCA
  6. MVGRL

  AI 推荐了 6 个替代方案，却始终没点名 yueliu1999/Awesome-Deep-Graph-Clustering。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of yueliu1999/Awesome-Deep-Graph-Clustering?

  pass
  ⚠AI 未点名 yueliu1999/Awesome-Deep-Graph-Clustering —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts yueliu1999/Awesome-Deep-Graph-Clustering in production, what risks or prerequisites should they evaluate first?

  pass
  ⚠AI 未点名 yueliu1999/Awesome-Deep-Graph-Clustering —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo yueliu1999/Awesome-Deep-Graph-Clustering solve, and who is the primary audience?

  pass
  ⚠AI 未点名 yueliu1999/Awesome-Deep-Graph-Clustering —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？