A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions 3. 快速浏览通道:思维导图 如果看不清楚的话可以去评论区下载源文件~ 1. Intro 1.1 推荐算法发展历史 1.1.1 Shallow Models 协同过滤CF,代表方法矩阵分解MF 《Matrix factorization techniques for recommender systems...
论文题目:A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions 期刊信息:ACM, 2023 作者机构: Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, School of Information Science a...
论文题目:A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions 期刊信息:ACM, 2023 作者机构: - Beijing National Research Center for Information Science and Technology (BNRist), - Department of Electronic Engineering, - Tsinghua University, - School of Informati...
State Key Laboratory of Computer ArchitectureHigher Education Press中国计算机科学前沿:英文版Li Zhen, Y Wang. A survey of neural network accelerators. Frontiers of Computer Science, 2017 , 11 (5) ,746-761Li, Z.; Wang, Y.; Zhi, T.; Chen, T. A survey of neural network accelerators. Front...
The field of measurement also achieves exciting progress with convolutional neural networks. This paper gives a survey of convolutional neural networks from software algorithms to hardware architectures perspective and the applications in measurement. The survey hopes to give contributions to the cross-...
Quaternion neural networks have recently received an increasing interest due to noticeable improvements over real-valued neural networks on real world tasks such as image, speech and signal processing. The extension of quaternion numbers to neural architectures reached state-of-the-art performances with ...
Deep Neural Networks (DNNs) are increasingly deployed and commercialised in a wide variety of real-world scenarios due to the unprecedented performance they achieve. Training a DNN is a very expensive process that requires: (i) the availability of massive amounts of, often proprietary, data, ca...
Convolutional Neural Network (CNN) is one of the most significant networks in the deep learning field. Since CNN made impressive achievements in many areas, including but not limited to computer vision and natural language processing, it attracted much attention both of industry and academia in the...
这篇博文是对“Meta-Learning in Neural Networks: A Survey”的阅读理解与总结,此文综述了元学习的最新研究进展,对元学习初学者了解此领域有极大的参考价值。 近年来,人们对元学习的兴趣急剧上升。与传统的Al方法不同,元学习的目的是改进学习算法本身,考虑到多个学习阶段的经验。这个范例提供了一个机会来解决深度学...
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directionsarxiv.org/abs/2109.12843 一、Abstract 推荐系统来说已经广泛引用于当今的互联网。近来GNN 神经网络的方法已经取得了一个最好的效果。这篇工作里我们首先介绍一下推荐系统的历史和GNN神经网络。 对于推荐系统来说,...