受图信号处理(Graph Signal Processing)[7]中对图信号卷积滤波的定义的启发,近几年发展出了一套基于图卷积操作并不断衍生的神经网络理论。本文将这类方法统称为图神经网络(Graph Neural Network,GNN[8-10])。下面我们简述其发展历程。 2005年,Marco Gori等人发表论文[11],首次提出了图神经网络的概念。在此之前,...
We are looking for motivated and hard-working individuals with strong values and expert knowledge in natural language processing. We expect that you are knowledgeable of the latest deep learning tools and how they can be applied to complete typical GNN tasks such as representation learning, link ...
受图信号处理(Graph Signal Processing)[7]中对图信号卷积滤波的定义的启发,近几年发展出了一套基于图卷积操作并不断衍生的神经网络理论。本文将这类方法统称为图神经网络(Graph Neural Network,GNN[8-10])。下面我们简述其发展历程。 2005年,Marco Gori等人发表论文[11],首次提出了图神经网络的概念。在此之前,...
我们使用了流行的 GNN 模型,包括 GCN、SGC (Simplified Graph Convolution)、GAT (Graph Attention Network)、GCNII (Graph Convolutional Networks with Inverse Inverse Propagation) 和 GPRGNN (Generalized PageRank Graph Neural Network)。 不同节点子集的性能如图 10 所示,在图10中,我们按照差异分数 s_u (同时...
Graph Neural Networks for Natural Language Processing: A Survey. 2021 论文地址: https://arxiv.org/abs/2106.06090arxiv.org/abs/2106.06090 摘要: 深度学习已经成为自然语言处理(NLP)中处理各种任务的主要方法。虽然文本输入通常被表示为一系列标记,但有许多NLP问题可以用图结构最好地表示。因此,人们对为...
受图信号处理(Graph Signal Processing)[7]中对图信号卷积滤波的定义的启发,近几年发展出了一套基于图卷积操作并不断衍生的神经网络理论。本文将这类方法统称为图神经网络(Graph Neural Network,GNN[8-10])。下面我们简述其发展历程。 2005年,Marco Gori等人发表论文[11],首次提出了图神经网络的概念。在此之前,...
Signal-control Refined Dynamic Traffic Graph Model for Movement-based Arterial Network Traffic Volume Prediction[J]. Expert Systems with Applications, 2023: 120393. Link Su Z, Liu T, Hao X, et al. Spatial-temporal graph convolutional networks for traffic flow prediction considering multiple traffic...
Graph neural networks (GNNs) have attracted increasing interests in recent years. Due to the poor data locality and huge data movement during GNN inference, it is challenging to employ GNN to process large-scale graphs. Fortunately, processing-in-memory (PIM) architecture has been widely investigat...
Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications Jerry M. Mendel Mar 1991 A compendium of recent theoretical results associated with using higher-order statistics in signal processing and system theory is provided, and the ...
[DAC 2022] Improving GNN-Based Accelerator Design Automation with Meta Learning. Bai Y, Sohrabizadeh A, Sun Y, et al.[Paper] [CICC 2022] StreamGCN: Accelerating Graph Convolutional Networks with Streaming Processing. Sohrabizadeh A, Chi Y, Cong J.[Paper] ...