今天给大家带来的是SIGIR 2022 一篇短文《Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation》,论文通过引入多意图解耦视角,分别从微观角度(超图构造和Intent Graph方法)与宏观角度(自监督意图分离)完成了会话推荐问题。论文由清华大学、美团共同完成,提出模型HIDE(Hypergraph ...
提取子结构 Adaptive graph convolutional neural networks. 提出了AdapiveGCN(AGCN),通过学习一个残差图邻接矩阵来提取分子中不被键定义的残差子结构,该矩阵通过一个可学习的距离函数来构建图邻接矩阵为指定的潜在结构关系 Graph attribute aggregation network with progressive margin folding 提出了图属性聚合网络(GAAN)...
本文提出动态超图神经网络框架(DHGNN)，旨在解决神经网络模型中深层生成嵌入特征在捕获高阶关系方面的局限性。该框架由动态超图构建(DHG)和超图卷积(HGC)两部分构成。HGC模块包括顶点卷积与超边缘卷积，分别负责聚合顶点与超边特征。DHGNN的关键贡献在于动态超图构建(DHG)与超图卷积(HGC)。DHG通过欧氏距离...
收藏人数: 0 评论次数: 0 文档热度: 文档分类: IT计算机--CSS/Script 系统标签: hypergraphneuralijcainetworkshyperedgedynamic DynamicHypergraphNeuralNetworksJianwenJiang1,2,YuxuanWei1,2,YifanFeng3,JingxuanCao1,2andYueGao1,2∗1BeijingNationalResearchCenterforInformationScienceandTechnology(BNRist)2KLISS,Schoo...
However, effective utilization of models such as graph neural networks to address general problems with higher order constraints is an unresolved challenge. 然而,有效利用图神经网络等模型来解决具有高阶约束的一般问题是一个尚未解决的挑战。 This paper presents a framework, HypOp, which advances the state...
we propose HyperGraph neural network for ERE ($hgnn{}$), which is built upon the PL-marker (a state-of-the-art marker-based pipleline model). To alleviate error propagation,we use a high-recall pruner mechanism to transfer the burden of entity identification and labeling from the NER modul...
论文笔记:IJCAI-2019-Dynamic Hypergraph Neural Networks 算法找到和该节点最相似的k-1个节点,连同顶点u形成一个超边;同时根据k-means的聚类结果将离定点u最近的S-1簇被赋值为与该顶点相邻的超边。超图卷积(HGC)超图卷积由两个子模块组成:顶点卷积...矩阵T,将矩阵T与输入顶点特征矩阵相乘,得到排列加权的顶点特...
IJCAI-19-Dynamic Hypergraph Neural Networks 动机 贡献 DHNN DHC(动态超图construction) 超图卷积 节点卷积 超边卷积 实验 Cora dataset Microblog 代码:https://github.com/iMoonLab/DHGNN 动机 超图/图的边是固有的,所以这个很大的限制了点之间的隐含关系。文章提出了动态超图神经网... 查看原文 论文笔记:IJCAI...
论文:Dual Channel Hypergraph Collaborative Filtering 下载地址:https://dl.acm.org/doi/pdf/10.1145/3394486.3403253...针对以上两个问题,论文提出了双通道超图卷积网络协同过滤的框架DHCF(Dual Channel Hyp...
Hypergraph Neural Networks (AAAI 2019) deep-learningpytorchhypergraphcomplex-datahypergraph-neural-networks UpdatedAug 31, 2022 Python pnnl/HyperNetX Star547 Code Issues Pull requests Discussions Python package for hypergraph analysis and visualization. ...