sheldonresearch/ProG

• highreadme#1

  Add a 'Why ProG-V2?' section to the README

  原因：

  复制粘贴的修复

  复制

  Add a new section titled 'Why ProG-V2?' after the introduction, explicitly stating its unique value proposition for graph prompting and benchmarking compared to general GNN libraries. For example: 'While general GNN libraries like PyTorch Geometric and DGL provide foundational graph operations, ProG-V2 is purpose-built as a unified Python library and reproducible benchmark specifically for graph prompt learning. It offers a modular architecture for prompt strategies, comprehensive coverage, and standardized benchmarking utilities that are not found in general-purpose GNN frameworks.'

  待办完成忽略
• mediumabout#2

  Add a homepage URL to the repository's About section

  原因：

  复制粘贴的修复

  复制

  Add a relevant URL (e.g., project documentation, official website, or the GitHub repo itself) to the 'homepage' field in the repository's About section.

  待办完成忽略
• lowreadme#3

  Enhance README with a quick start or examples section

  原因：

  复制粘贴的修复

  复制

  Add a 'Quick Start' or 'Getting Started' section immediately after the 'What's New' or 'Architecture' section, demonstrating a minimal working example of implementing a graph prompt learning workflow. This could include a simple code snippet for defining a prompt strategy and running a benchmark.

  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

  What Python libraries are available for implementing graph prompt learning workflows?

  你：未被推荐
  AI 推荐顺序：

  1. PyTorch Geometric (PyG)
  2. Deep Graph Library (DGL)
  3. Spektral
  4. Graph Neural Network Library (GNN-Lib)
  5. NetworkX

  AI 推荐了 5 个替代方案，却始终没点名 sheldonresearch/ProG。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Seeking a robust framework for benchmarking different graph neural network prompting strategies.

  你：未被推荐
  AI 推荐顺序：

  1. PyTorch Geometric (PyG)
  2. Deep Graph Library (DGL)
  3. Spektral
  4. Graph Neural Network Library (GNNA)
  5. GraphGym

  AI 推荐了 5 个替代方案，却始终没点名 sheldonresearch/ProG。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 sheldonresearch/ProG?

  pass
  ✓AI 明确点名了 sheldonresearch/ProG

  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 sheldonresearch/ProG in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 sheldonresearch/ProG

  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 sheldonresearch/ProG solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 sheldonresearch/ProG

  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？