之前的图网络学习算法系列中,我们已经总结了如传统的Deepwalk,以及以卷积图神经网络为基础的GCN,GAT和GraphSAGE方法。今天,我们来学习下Graph Neural Network中的另一大类型,利用门控信息来进行更新的Gated G…
基于这一出发点,2009年,在[2]中提出了graph neural network(GNN)。简单来讲,GNN是一种可以将图或图中的节点映射为某种向量表示的神经网络。为了使GNN能够用于处理序列问题,本文又提出了Gated Graph Sequence Neural Network(GGS-NN)。此外,针对GNN的训练问题,本文也做了相应的改进。实验证明,本文所提出了GGS-NN...
Graph neural network(GNN) has become more widely used in recommendation systems in recent years, because of their ability to naturally integrate node information and topology. However, most of the current recommendation methods based on graph structure only focus on a single recommendation domain (...
neural network models that has favorable inductive biases relative to purely sequence-based models (e.g., LSTMs) when the problem is graph-structured. We demonstrate the capabilities on some simple AI (bAbI) and graph algorithm learning tasks. We then show it achieves state-of-the-art ...
InteractiveSegmentation refinementGated graph neural networkThe extraction of organ and lesion regions is an important yet challenging problem in medical image analysis. The accuracy of the segmentation is essential to the quantitative evaluation in many......
Radiotherapy Target Contouring with ConvolutionalGated Graph Neural NetworkChun-Hung Chao 1 Yen-Chi Cheng 1 Hsien-Tzu Cheng 1 Chi-Wen Huang 1Tsung-Ying Ho 2 Chen-Kan Tseng 2 Le Lu 3 Min Sun 11 National Tsing Hua University2 Chang Gung Memorial Hospital3 National Institutes of Health Clinical...
Graph Neural Networks (GNNs) are widely used on a variety of graph-based machine learning tasks. For node-level tasks, GNNs have strong power to model the homophily property of graphs (i.e., connected nodes are more similar) while their ability to capture h...
Tensorflow implementation of Gated Graph Neural Network for Source Code Classification - bdqnghi/ggnn.tensorflow
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering笔记 来源: COLING 2018 Long Paper 原文 Movation 以往的模型在复杂问题(问题实体和答案实体之间相隔较远)上的表现很差。 作者认为: We claim that one needs to explicitly model the semantic structure to be able to ...
Gated Graph Sequence Neural Networks,门控图神经网络 ICLR 2016 本文在【Scarselli, Franco, Gori, Marco, Tsoi, Ah Chung, Hagenbuchner, Markus, and Monfardini, Gabriele.The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61–80, 2009.】这篇论文的基础上进行了改进,包括:...