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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Generalization of Graph Neural Networks and Graph Structural Learning for Robust Representation
图神经网络 泛化 图结构学习 鲁棒表示
2023/4/18
This report consists of two parts associated with graph neural networks: generalization and graph structural learning. We first study the Rademacher complexity of GNNs, as one of independent-algorithm...
An Achievable Region for a General Multi-terminal Network and its Chain Graph Representation
General Multi-terminal Network Achievable Region Information Theory
2011/9/19
Abstract: Random coding, along with various standard techniques such as coded time-sharing, superposition coding, ratesplitting and binning, are traditionally used in obtaining achievable rate regions...
USING DISPLACED CONE REPRESENTATION IN DEA MODELS FOR NONDOMINATED SOLUTIONS IN MULTIOBJECTIVE PROGRAMMING
Multi-objective programming efficiency
2007/8/7
Concepts revolving around "displaced cones" are used to extend the ideas of nondominated solutions in multiobjective programming. Necessary and sufficient conditions are formed around the additive mod...
