专知小编提前为大家整理了六篇SIGIR 2020 基于图神经网络的推荐(GNN+RS)相关论文,这六篇论文分别出自中科大何向南老师和和昆士兰大学阴红志老师团队,供大家参考——捆绑推荐、Disentangled GCF、服装推荐、多行为推荐、全局属性GNN 1. Bundle Recommendation with Graph Convolutional Networks 作者:Jianxin Chang, Chen Gao...
Specifically, RSGNN constructs residual links on local subgraphs to express the potential relationships between nodes, thus compensating for the lack of structural information solely conveyed by real edge connections. Meanwhile, the influence of edge structures of neighbor nodes is considered. We conduct...
MA-GNN 将静态和动态用户喜好与物品的 co-occurrence patterns 相结合,从用户的静态喜好、短期喜好、长期喜好三方面来表示用户对目标物品的喜好。具体来说,采用 GNN 来对短期上下文信息建模,序列图的构造是提取三个后继物品并在它们之间添加边。 \mathbf{h}_{i}=\tanh \left(\mathbf{W}^{(1)} \cdot\left[...
最近图神经网络GNN have seen a surge in popularity due to 他们在modeling unstructured relational data的成功。然而最近的GNN的发展并没有用在rs-fMRI的分析当中,特别它的spatio-temporal dynamics。 本文中,我们提出了一种novel deep neural network architecture,结合了GNN和TCN,来端到端的学习spatial和temporal的...
PET-AI解读 | rs-fMRI的GNN和TCN建模(图构建,时间序列归一化),相关论文:Adeepgraphneuralnetworkarchitectureformodellingspatio-temporaldynamicsinresting-stat
GNN-RS-Beginner넓고 얕게 GNN 기반 추천 훑어보기 Keword: Why GNN?, Survey, GCN, CF, Inductive Learning, Web-Scale, Graph Attention, Knowledge GraphTable of Contents Schedule 1. OT + Understanding Convolutions on Graphs 2. Why GNN for RS? & Survey 3. Neural Graph...
thfTHF/GNN-in-RS main 1Branch 0Tags Code This branch is2 commits behindPKU-DAIR/GNN-in-RS:main. GNN in RS User-item CF Graph convolutional matrix completion (KDD'18) [doc] Graph Convolutional Neural Networks for Web-Scale Recommender Systems (KDD'18) [doc]...
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