Graph Inductive Biases in Transformers without Message Passing|文献阅读|Model-前沿论文-Transformer
1 📑Metadata 摘要 Transformers for graph data are increasingly widely studied and successful in numerous learning tasks. Graph [[inductive biases]] are ...
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Recipe for a General, Powerful, Scalable Graph Transformer|文献阅读|Model-前沿论文-Transformer
1 📑Metadata 摘要 We propose a recipe on how to build a general, powerful, scalable (GPS) graph Transformer with linear complexity and state-of-the-art ...
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Search to Aggregate NEighborhood for Graph Neural Network|文献阅读|经典论文-Fine-tune-神经架构搜索
1 📑Metadata 信息 标题：Search to aggregate neighborhood for graph neural network 作者: Zhao, Huan; Yao, Quanming; Tu, Weiwei 团队: [[QuanmingYao]] 年份: 2021 ...
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雅思写作真经总纲|英语|雅思-写作
1 应试 1.1 5 字决：思、准、通、转、稳 1.2 考试内容 1. 写作是雅思考试的第三部分, 在听力、阅读之后, 考试时间为考试日 (通常为周六)上午 11 点至 12点。 2. Task 1 和 Task 2 的分值权重为 3 比 7。 3. Task 2 中议论文 (Argumenta ...
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A New Model for Learning in Graph Domains|文献阅读|经典论文-Model-GNN
1 📑摘要与结论 1.1 摘要 原文： In several applications the information is naturally represented by graphs. Traditional approaches cope with graphical data stru ...
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DARTS：Differentiable Architecture Search|文献阅读|经典论文-Fine-tune-神经架构搜索
This paper addresses the scalability challenge of architecture search by formulating the task in a differentiable manner. Unlike conventional approac ...
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