开课单位--圣路易斯华盛顿大学
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Weisfeiler-Lehman Neural Machine for Link Prediction[用于链路预测的 Weisfeiler-Lehman 神经机]
张慕涵(圣路易斯华盛顿大学) In this paper, we propose a next-generation link prediction method, Weisfeiler-Lehman Neural Machine (WLNM), which learns topological features in the ...
热度:49
张慕涵(圣路易斯华盛顿大学) In this paper, we propose a next-generation link prediction method, Weisfeiler-Lehman Neural Machine (WLNM), which learns topological features in the ...
热度:49
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The Space Within: Interior Experience as the Origin of Architecture[内部空间:室内体验是建筑的起源]
Robert McCarter(圣路易斯华盛顿大学 ) The Space Within: Interior Experience as the Origin of Architecture
热度:35
Robert McCarter(圣路易斯华盛顿大学 ) The Space Within: Interior Experience as the Origin of Architecture
热度:35
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Direct Maximization of Protein Identifications from Tandem Mass Spectra[从串联质谱鉴定的蛋白质直接最大化]
Marina Spivak(圣路易斯华盛顿大学)
热度:41
Marina Spivak(圣路易斯华盛顿大学)
热度:41
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A Novel Transition Based Encoding Scheme for Planning as Satisfiability[一种新的基于规划的可满足性过渡编码方案]
Ruoyun Huang(圣路易斯华盛顿大学) Planning as satisfiability is a principal approach to planning with many eminent advantages. The existing planning as satisfiability techniques usuall...
热度:50
Ruoyun Huang(圣路易斯华盛顿大学) Planning as satisfiability is a principal approach to planning with many eminent advantages. The existing planning as satisfiability techniques usuall...
热度:50
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The Unreasonable Effectiveness of the Post-Newtonian Approximation[后牛顿近似的不合理有效性]
Abhay V. Ashtekar, Clifford M. Will(圣路易斯华盛顿大学) The post-Newtonian approximation is a method for solving Einstein's field equations for physical systems in which motions are slow compared to the spe...
热度:113
Abhay V. Ashtekar, Clifford M. Will(圣路易斯华盛顿大学) The post-Newtonian approximation is a method for solving Einstein's field equations for physical systems in which motions are slow compared to the spe...
热度:113
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