Titlebook: Introduction to Graph Neural Networks; Zhiyuan Liu,Jie Zhou Book 2020 Springer Nature Switzerland AG 2020

伸展

Zhiyuan Liu,Jie Zhou.Principia...The chapters presented here collectively demonstrate that her work was an essential contribution to  the mediation between empiricist and rationalist positions in the history of science..978-94-007-3693-1978-94-007-2093-0Series ISSN 0066-6610 Series E-ISSN 2215-0307

灌输

Zhiyuan Liu,Jie Zhou.Principia...The chapters presented here collectively demonstrate that her work was an essential contribution to  the mediation between empiricist and rationalist positions in the history of science..978-94-007-3693-1978-94-007-2093-0Series ISSN 0066-6610 Series E-ISSN 2215-0307

microscopic

orient

cinder

潜伏期

奇思怪想

General Frameworks,6, Watters et al., 2017], Neural Physics Engine [Chang et al., 2017], CommNet [Sukhbaatar et al., 2016], structure2vec [Dai et al., 2016, Khalil et al., 2017], GGNN [Li et al., 2016], Relation Network [Raposo et al., 2017, Santoro et al., 2017], Deep Sets [Zaheer et al., 2017], and Point Net [Qi et al., 2017a].

Creatinine-Test

泥瓦匠

Basics of Neural Networks,s rather precisely. In the end, the knowledge that a neural network learned is stored in the connections in a digital manner. Most of the researches on neural network try to change the way it learns (with different algorithms or different structures), aiming to improve the generalization ability of the model.

使习惯于

Applications - Structural Scenarios,discussing how to model real-world physical systems with object-relationship graphs, how to predict chemical properties of molecules and biological interaction properties of proteins and the methods of reasoning about the out-of-knowledge-base (OOKB) entities in knowledge graphs.