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 ...
Neural Network Research refers to the pursuit of accurate mathematical characterizations of the electrophysiological properties of individual neurons and interconnected networks, leading to the development of models for pattern recognition and other applications in engineering and medicine. ...
In this review, we critically summarize the main challenges linked to lifelong learning for artificial learning systems and compare existing neural network approaches that alleviate, to different extents, catastrophic forgetting. Although significant advances have been made in domain-specific learning with ...
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 ...
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。
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。
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...
(其中翻译成中文的,表示我对这个问题感兴趣,但目前也不知道答案;英文原文表示我不太理解review中想表达的意思) 1.CNN的第一层结构是如何?如何处理输入的? 2.“graph space to tensor space”具体是什么意思? 3.Does this "NAUTY" approach use anything like the "unsupervised" objective you allude to in Th...
(GGNN) have demonstrated ground-breaking performance on many tasks mentioned above. In this survey, we provide a detailed review over existing graph neural network models, systematically categorize the applications, and propose four open problems for future research.大量的学习任务需要处理包含丰富元素间...
Brain networks exist within the confines of resource limitations. As a result, a brain network must overcome the metabolic costs of growing and sustaining the network within its physical space, while simultaneously implementing its required information p