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 ...
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...
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...
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 ...
In this paper, we propose a knowledge-aware attentional neural network (KANN) for dealing with movie recommendation tasks by extracting knowledge entities
Review article Neural network modeling of emotion Physics of Life Reviews Journal2007, Physics of Life Reviews Daniel S. Levine 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 ...
Review articleAbstract only Break Adhesion: Triple adaptive-parsing for weakly supervised instance segmentation Jingting Xu, ... Dejun Mu June 2025 Research articleAbstract only Neural-network-based accelerated safe Q-learning for optimal control of discrete-time nonlinear systems with state constraints ...
This repo is a collection of research papers for our survey paperA Survey on Neural Topic Models: Methods, Applications, and Challengespublished at Artificial Intelligence Review. If you are interested in our survey, please cite as @article{wu2023survey, title={A Survey on Neural Topic Models:...
(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...