①Title:个性化Session序列推荐: Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation; ②论文链接:arxiv.fenshishang.com/p 作者相关 同济大学/西蒙菲莎大学 + JD( Bo Long ) Motivation动机&Challenge&挑战: 启发:Session到Session的推荐,即预测短期交互会话的下一个交互Session?
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation 面向个性化会话推荐的异构全局图神经网络 发表于: 存在的问题:在现有的工作中,建模用户偏好时往往忽略了用户历史会话,导致不能实现个性化推荐。现有的基于会话的个性化推荐仅限于当前用户的会话,忽略了其他用户历史会话中有用的项目转...
最后是将每一层的输出求平均作为item和user的最终表示: 接下来是个性化的session encoder部分。应用一个item-level的注意力机制来combine当前会话内的item信息。 将网络更新得到的项目的表示拼接上位置编码,再经过线性映射,最后将会话内item的表示求平均来作为basic session preference。然后是常见的求会话内每个item的权重...
异构图神经网络(HeterogeneousGraphNeuralNetworks,HGNNs)是图神经网络的一个分支,专门用于处理包含多种类型节点和边的异构图数据。在推荐系统中,异构图可以包括用户、物品、类别、标签等多种节点类型,以及评分、点击、购买、关注等多种边类型。HGNNs能够有效地整合这些多源信息,通过节点特征的传播和更新,学习到更丰富的...
Heterogeneous graphs (HGs) also called heterogeneous information networks (HINs) have become ubiquitous in real-world scenarios. Recently, employing graph neural networks (GNNs) to heterogeneous graphs, known as heterogeneous graph neural networks (HGNNs) which aim to learn embedding in low-dimensional...
To study a general heterogeneous graph embedding model framework, we explore how to generate node embeddings in heterogeneous graphs by a graph neural network without using a meta-path. However, it is not easy to generate node embeddings in heterogeneous graphs by graph neural networks without ...
Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data 来自 掌桥科研 喜欢 0 阅读量: 153 作者:C Jia,Y Shen,Y Tang,L Sun,W Lu 摘要: Prerequisite relations among concepts are crucial for educational applications, such as curriculum planning and intelligent ...
③ Heterogeneous Graph Neural Networks for Malicious Account Detection. CIKM 2018...采用了 LSTM 网络对最优的的网络深度进行学习。 ③ Heterogeneous Graph Neural Networks for Malicious Account Detection. CIKM 【论文解读 CIKM 2018 | GEM】Heterogeneous Graph Neural Networks for Malicious Account Detection ...
Representation-Learning-on-Heterogeneous-Graph machine-learning deep-learning representation-learning network-embedding graph-embedding heterogeneous-information-networks network-representation-learning graph-neural-network heterogeneous-graph Updated Mar 13, 2020 cynric...
《Heterogeneous Graph Neural Networks for Malicious Account Detection》解读一:Connected Subgraph 1 年前 Hisun100 懒人很懒关注论文的标题可以翻译为《用于恶意账户检测的异构图神经网络》,根据 设备聚集性(device aggregation) 和行为聚集性(activity aggregation)这两个恶意账号的特征来构建图网络。 本文描述的是,...