This paper describes a computational model to support decision-making using a combination of data mining (DM) and artificial neural network (ANN). With the enormous amount of data stored in databases, files and other repositories, it is increasingly important, to develop a powerful means for ...
What is the knowledge in Neural Network? A conceptual block that may have prevented more investigation of this very promising approach is that we tend to identify the knowledge in a trained model with the learned parameter values and this makes it hard to see how we can change the form of ...
Deep Neural Network Representation and Generative Adversarial Learning Edited byAriel Ruiz-Garcia,Jürgen Schmidhuber,Vasile Paled,Clive Cheong Took,Danilo Mandic 16 July 2024 Lifelong Learning Edited bySavitha Ramasamy,Haytham Fayek,Vincenzo Lomonaco,Li Xiaoli,Suresh Sundaram ...
Graph Neural Network Review 图(graph)是一个非常常用的数据结构,现实世界中很多很多任务可以描述为图问题,比如社交网络,蛋白体结构,交通路网数据,以及很火的知识图谱等,甚至规则网格结构数据(如图像,视频等)也是图数据的一种特殊形式,因此图是一个很值得研究的领域。
In this paper, we propose a knowledge-aware attentional neural network (KANN) for dealing with movie recommendation tasks by extracting knowledge entities
Given the complex nature of graph structure, graph measures are often used to characterize graphs. In this paper, we focus on one global graph measure, average path length, and one local graph measure, clustering coefficient. Notably, these two measures are widely used in network science (Watts...
Deep Neural Network Representation and Generative Adversarial Learning Edited byAriel Ruiz-Garcia,Jürgen Schmidhuber,Vasile Paled,Clive Cheong Took,Danilo Mandic 16 July 2024 Lifelong Learning Edited bySavitha Ramasamy,Haytham Fayek,Vincenzo Lomonaco,Li Xiaoli,Suresh Sundaram ...
Deep Neural Network Representation and Generative Adversarial Learning Edited by Ariel Ruiz-Garcia, Jürgen Schmidhuber, Vasile Paled, Clive Cheong Took, Danilo Mandic 16 July 2024 Lifelong Learning Edited by Savitha Ramasamy, Haytham Fayek, Vincenzo Lomonaco, Li Xiaoli, Suresh Sundaram 27 July 2023 ...
Review article Neural network modeling of emotion a neural network is a system composed of many simple processing elements operating in parallel whose function is determined by network structure, connection strengths, and the processing performed at computing elements or nodes. … Neural network architec...
简介:Paper:《Graph Neural Networks: A Review of Methods and Applications》 原论文地址: https://arxiv.org/pdf/2007.06559.pdf https://arxiv.org/abs/2007.06559 Comments: ICML 2020 [Submitted on 13 Jul 2020] Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV);...