论文题目:A Hypergraph Convolutional Neural Network for Molecular Properties Prediction using Functional Group 发表年份: 会议/期刊名: ABSTRACT 提出目前存在的问题 传统的基于图的方法考虑了节点间的成对交互,不能灵活地表达图中多个节点之间的复杂关系,并且应用多条可能会导致过渡平滑和过拟合问题 本文方法和创新点...
DHCN:Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation 长腿冯宝宝 11 人赞同了该文章 摘要:在交互序列中进行特征捕捉对用户的兴趣建模无疑是重要的,但目前的研究大都停留在项目对上的关系特征捕捉,而忽略了序列中项目间的高阶信息。而超图的性质能够很好地解决这个问题。 超图定义 ...
In this paper, we propose a novel weighted hypergraph convolutional network-based method, called WHCN, to confront the challenges of learning point-wise labels from scene-level annotations. Firstly, in order to simultaneously overcome the point imbalance among different categories and reduce the model...
[5]. One key aspect in GNN is to define the convolutional operator in the graph domain. Bruna et al. [19] firstly define convolution in the Proposed approach In this section, we first give the definition of hypergraph in Section 3.1, then elaborate the proposed hypergraph convolution and ...
Attentive Graph Neural Networks for Holistic Sequential Recommendation 5.Self-Supervised Multi-Channel Hypergraph...Self-Supervised Multi-Channel Hypergraph ConvolutionalNetwork for Social Recommendation ? 1.8K00 从零开始一起学习SLAM | 掌握g2o顶点编程套路 ...
Since the two types of networks both are based on hypergraph, which can be seen as two channels for hypergraph modeling, we name our model \textbf{DHCN} (Dual Channel Hypergraph Convolutional Networks). Extensive experiments on three benchmark datasets demonstrate the superiority of our model ...
【会话推荐论文阅读】Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation,程序员大本营,技术文章内容聚合第一站。
NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs semi-supervised-learninghypergraphgraph-convolutional-network UpdatedAug 16, 2020 Python Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equi...
Hypergraph convolutional networks via equivalency between hypergraphs and undirected graphs. In: Proceedings of the 2022 ICML Workshop; 2022 Jul 17–23; Baltimore, MD, USA. San Diego: The International Conference on Machine Learning; 2022. p. 1–36. Google Scholar [38] Yan J, Feng Y, Ying ...
【2021/超图卷积】Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation 码农的科研笔记 个人公众号“码农的科研笔记” 4 人赞同了该文章 目录 收起 1 动机 2 方法 2.1【如何构建超图】 2.2【自监督增强模型】 2.3【损失函数】 3 总结 文章全文首发:码农的科研笔记(公...