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学术报告-Revisiting Graph Convolutional Networks: From Paradigm to Application（图）
学术报告 图神经网络 王石平
2024/4/15
图神经网络（Graph Neural Network，GNN）是指使用神经网络来学习图结构数据，提取和发掘图结构数据中的特征和模式，满足聚类、分类、预测、分割、生成等图学习任务需求的算法总称。如何从图数据（网络数据）中学习有效的数据表征是大数据与人工智能时代的一大挑战。为此，本次汇报将从一种特殊的谱图神经网络（图卷积神经网络）出发，介绍相应的消息传递范式，揭示传统机器学习和图神经网络的内在关联，并...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Dynamic Learning and Modelling of Nonlinear Spatio-Temporal Network Data: theory with an application to the EU energy markets
非线性 时空网络数据 动态学习 建模
2023/4/28
Nonlinear modelling of dynamic spatio-temporal network data is often a challenge with various issues, in particular due to irregularly observed locations and location-wide non-stationarity. In this pa...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Modeling normalcy-dominant ordinal time series: An application to air quality level
正态主导 有序时间序列 建模 空气质量水平
2023/5/10
Inspired by the study of air quality level data, we propose a new model for the normalcy-dominant ordinal time series. The proposed model is based on a new zero-one-inflated bounded Poisson distributi...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars： Modeling normalcy-dominant ordinal time series: An application to air quality level
正态主导 有序时间序列 建模 空气质量水平
2023/5/10
Inspired by the study of air quality level data, we propose a new model for the normalcy-dominant ordinal time series. The proposed model is based on a new zero-one-inflated bounded Poisson distributi...
April 17, 2007，A free web site dedicated to M.B.A. applicants will mitigate the long and stressful process of applying to business schools and will help applicants determine their chances of getting i...