And while graph neural networks have been used for supervised and unsupervised learning on networks, their application to modularity optimization has not been explored yet. This paper proposes a new variant of
论文: Overlapping Community Detection with Graph Neural Networks. 源码: https://github.com/shchur/overlapping-community-detection 文章概述 现有的用于社团检测的神经网络只检测不相交的社区,而真实的社区却是重叠的,针对这一不足,提出了一种基于GNN的重叠社区检测模型NOCD。文章... 查看原文 社区发现(一):...
In this paper, we propose a novel method called Attention Overlapping Community Detection (AOCD) a method that incorporates an attention mechanism into the well-known method called Neural Overlapping Community Detection (NOCD) (Shchur and Günnemann, 2019) to discover overlapping communities in ...
这也解释了为什么除了section 5.2中的限制,对于节点分类任务来说GNNs with mean aggregator are effective,如:分类文章主题和community detection,其中节点特征是rich的以及邻居特征的分布为任务提供了strong signal。 5.4 max-pooling learns sets with distinct elements 图3中的例子阐释了max-pooling将multiple nodes ...
Graph Wavelet Neural Network Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng ICLR 2019 Supervised Community Detection with Line Graph Neural Networks Zhengdao Chen, Xiang Li, Joan Bruna ICLR 2019 Predict then Propagate: Graph Neural Networks meet Personalized PageRank ...
Graph Neural Networks Graph Theory - Link Prediction Graph-Based Clustering Graph Theory - PageRank Algorithm Graph Theory - HITS Algorithm Graph Theory - Social Network Analysis Graph Theory - Centrality Measures Graph Theory - Community Detection Graph Theory - Influence Maximization Graph Theory - Gr...
论文: Overlapping Community Detection with Graph Neural Networks. 源码: https://github.com/shchur/overlapping-community-detection 文章概述 现有的用于社团检测的神经网络只检测不相交的社区,而真实的社区却是重叠的,针对这一不足,提出了一种基于GNN的重叠社区检测模型NOCD。文章...Graph...
link prediction;graph neural network;community detection;network analysis;citation graph;deep learning MSC: 68T20 1. Introduction Graphs represent intricate data structures comprised of vertices and edges, where link prediction aims to foresee potential connections and their strengths within a graph structu...
Learn everything about Graph Neural Networks, including what GNNs are, the different types of graph neural networks, and what they're used for. Plus, learn how to build a Graph Neural Network with Pytorch.
Graph Wavelet Neural Network Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng ICLR 2019 Supervised Community Detection with Line Graph Neural Networks Zhengdao Chen, Xiang Li, Joan Bruna ICLR 2019 Predict then Propagate: Graph Neural Networks meet Personalized PageRank ...