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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
| Date | Stars |
|---|---|
| 2026-07-31 | 437 |
| 2026-08-03 | 437 |
| 2026-08-04 | 437 |
| 2026-08-06 | 437 |
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# Graph-Neural-Network-Review 里面存放的是Graph Neural Network Review的PDF版本，需要的同学自取 ### 更新 由于该PDF没有包含最新的paper，所以我会把看过的和graph相关的也放在这里，公众号和知乎专栏有更丰富的内容，欢迎关注~ <br> **[【KDD 2018最佳论文解读 | 图神经网络对抗攻击】](https://mp.weixin.qq.com/s?__biz=MzU0ODk1MTcwNA==&mid=2247483798&idx=1&sn=b675e827620fafcb9e5f6bc1c6fe92d6&chksm=fbb60261ccc18b778a6ed347400c3284645b2431248acda221336264d52a05863d52f6164e1a&token=350853886&lang=zh_CN#rd)** <br> **[【论文分享系列 | GraphWave：KDD2018最新GE方法】](https://mp.weixin.qq.com/s?__biz=MzU0ODk1MTcwNA==&mid=2247484230&idx=1&sn=dd82c18667572f684c0c97b1279fbcc8&chksm=fbb600b1ccc189a7d9a20e0eaf92b2325b4533ab48b4906a5241caa8b27db5f4cadb4ceec375&token=350853886&lang=zh_CN#rd)** <br> **[【图拉普拉斯算子为何定义为D-W】](https://mp.weixin.qq.com/s?__biz=MzU0ODk1MTcwNA==&mid=2247484257&idx=1&sn=70ceb8cad8a091dd1c93aaca84b77d21&chksm=fbb60096ccc18980ce324f5476d663d411f712765822635a20cb4c4f1ed209972ae5cbb54c6d&token=350853886&lang=zh_CN#rd)** <br> **[【基于图卷积路况预测的ETA深度模型】](https://mp.weixin.qq.com/s?__biz=MzU0ODk1MTcwNA==&mid=2247484393&idx=1&sn=348082ea3031943d6c7725c75b8aadee&chksm=fbb6001eccc18908262ed118e55d9d542d942622f8dc54ac684791c95674c479213c2a1a13a3&token=350853886&lang=zh_CN#rd)** <br><br> 以上放的是公众号文章链接，知乎专栏也有相同的文章 ### 欢迎大家关注公众号 & 知乎专栏 ： 算法人生 
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:150891217ed37831, llm:Repository name: 'Graph-Neural-Network-Review' — suggests a review/survey of graph neural networks (GNNs). No topics or README provided, but name indicates GNN literature review or summary resources.
matched fp:150891217ed37831, llm:Repository name: 'Graph-Neural-Network-Review' — suggests a review/survey of graph neural networks (GNNs). No topics or README provided, but name indicates GNN literature review or summary resources.
