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jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
默认分支 master · commit 96fb3368 · 扫描时间 2026/6/12 03:42:36
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行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
2 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highlicense#1Add a LICENSE file to clarify usage terms
原因:
复制粘贴的修复Create a LICENSE file in the repository root. For a curated list of papers, a Creative Commons license like CC-BY-4.0 (Attribution 4.0 International) is often suitable, allowing others to share and adapt the content with attribution. Alternatively, if the content is intended to be public domain, consider CC0.
- mediumhomepage#2Add a homepage URL to the repository About section
原因:
复制粘贴的修复Add a relevant URL to the 'Homepage' field in the repository settings. This could be a project website, a related publication, or a personal academic page if applicable.
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- arXiv.org · 被推荐 1 次
- arXiv Sanity Preserver · 被推荐 1 次
- Papers With Code · 被推荐 1 次
- Twitter · 被推荐 1 次
- NeurIPS · 被推荐 1 次
- 品类问题Where can I find essential readings to understand the basics of graph neural networks?你:未被推荐
查看 AI 完整回答
- 品类问题How can I keep up with the latest research and developments in graph neural networks?你:未被推荐AI 推荐顺序:
- arXiv.org
- arXiv Sanity Preserver
- Papers With Code
- NeurIPS
- ICML
- ICLR
- KDD
- AAAI
- Graph Representation Learning and Beyond (GRL+)
- Deep Learning on Graphs (DLG)
- GitHub
- PyTorch Geometric (PyG) (pyg-team/pytorch_geometric)
- Deep Graph Library (DGL) (dglai/dgl)
- Spektral (danielegrattarola/spektral)
- Google Scholar Alerts
AI 推荐了 16 个替代方案,却始终没点名 jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenessfail
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress?passAI 未点名 jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress —— 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 jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
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 jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress solve, and who is the primary audience?passAI 未点名 jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress —— 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?
嵌入你的 GEO 徽章
把这个徽章贴进 jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress)<a href="https://repogeo.com/zh/r/jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress"><img src="https://repogeo.com/badge/jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3