flyingdoog/awesome-graph-explainability-papers

• highreadme#1

  Reposition README's opening to clarify it's a curated list of papers

  原因：

  当前

  # awesome-graph-explainability-papers
  Papers about the explainability of GNNs

  复制粘贴的修复

  复制

  # awesome-graph-explainability-papers
  A curated list of essential papers and surveys on the explainability of Graph Neural Networks (GNNs).

  待办完成忽略
• highlicense#2

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  (Create a LICENSE file in the repository root, e.g., with an MIT or Apache-2.0 license, or clearly state the intended license in the README if it's a custom one.)

  待办完成忽略
• mediumtopics#3

  Add 'awesome-list', 'survey-papers', and 'research-papers' to topics

  原因：

  当前

  deep-learning, explainability, explainable-ai, graph-mining, graph-neural-networks, machine-learning, xai

  复制粘贴的修复

  复制

  deep-learning, explainability, explainable-ai, graph-mining, graph-neural-networks, machine-learning, xai, awesome-list, survey-papers, research-papers

  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

  How can I understand the decision-making process of my graph neural networks?

  你：未被推荐
  AI 推荐顺序：

  1. GNNExplainer
  2. PGExplainer
  3. Grad-CAM
  4. Captum
  5. GraphMask
  6. XGNN
  7. SHAP

  AI 推荐了 7 个替代方案，却始终没点名 flyingdoog/awesome-graph-explainability-papers。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Where can I find recent research and surveys on explaining graph-based deep learning models?

  你：未被推荐
  AI 推荐顺序：

  1. arXiv.org
  2. Google Scholar
  3. ACM Digital Library
  4. IEEE Xplore
  5. OpenReview.net
  6. GitHub

  AI 推荐了 6 个替代方案，却始终没点名 flyingdoog/awesome-graph-explainability-papers。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 flyingdoog/awesome-graph-explainability-papers?

  pass
  ⚠AI 未点名 flyingdoog/awesome-graph-explainability-papers —— 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 flyingdoog/awesome-graph-explainability-papers in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 flyingdoog/awesome-graph-explainability-papers

  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 flyingdoog/awesome-graph-explainability-papers solve, and who is the primary audience?

  pass
  ⚠AI 未点名 flyingdoog/awesome-graph-explainability-papers —— 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？