然后,我们提出了多模态知识图谱注意网络(multimodal Knowledge Graph Attention Network, MKGAT),它从两个方面对多模态知识图谱建模:1)实体信息聚合,聚合实体的邻居节点信息,丰富实体本身;2)实体关系推理,利用三元组的分数函数(如TransE)构建推理关系。首先提出了一种改进图注意神经网络(GATs)的新方法,该方法在考虑知识...
知识图谱分为两大类: 其一是feature based方法:其将多模态信息和entity信息直接拼接到一起,作为全新的entity信息,但是这种方法的缺点是需要知识图谱中的每个实体都包含对应的graph等多模态信息,这对数据集的要求过高了。 其二是entity-based方法:其将文本模态和视觉模态看作是两个entity,分别进行建模。 由于数据集的原...
Wang et al., “RippleNet: Propagating user preferences on the knowledge graph for recommender systems,” Int. Conf. Inf. Knowl. Manag. Proc., no. 1, pp. 417–426, 2018, doi: 10.1145/3269206.3271739. 关键词:knowledge graph,recommender systems,preference propagation。 这篇论文首次提出了偏好传播...
Knowledge graph embedding or knowledge graph representational learning is the trending approach for the usage of knowledge graphs in recommender systems. Translational models like TransE, TransH are widely used and neural network models like graph convolutional network and graph attention network are seen ...
2018CIKM-RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems 作者及单位 解决问题 基于知识图谱的推荐系统能够缓解数据的稀疏性以及冷启动问题,并且可以增加推荐系统的多样性和可解释性。RippleNet就是基于KG的推荐模型,其主要目的也是尝试解决上述问题。
原文Link:Knowledge Graph Convolutional Networks for Recommender Systems 应用 KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction 这是一篇和KGCN很像的文章,用来预测药物和药物之间的相关性,不同之处在于这里的两个药物(对应user和item)都是知识图谱中的实体,所以需要得到两个药物聚合KG中各自...
Knowledge graphs are becoming the new state-of-the-art for recommender systems. This paper is based on knowledge graphs to alleviate the problem of data sparsity. Various methods have been recently deployed to solve this problem which largely attempts to study user-item representation and then reco...
Incorporatingknowledgegraphintorecommendersystems hasattractedincreasingattentioninrecentyears.By exploringtheinterlinkswithinaknowledgegraph,the connectivitybetweenusersanditemscanbediscoveredas paths,whichproviderichandcomplementaryinformation touser-iteminteractions.Suchconnectivitynotonlyreveals ...
论文:A Survey on Knowledge Graph-Based Recommender Systems 首发链接: 【综述】基于知识图谱的推荐系统综述mp.weixin.qq.com/s/6lTxdxBsw-HJzuKhvNMhcg 基于知识图谱的推荐系统综述 作者信息 Elesdspline目前从事NLP与知识图谱相关工作。 导语 本文是2020年针对知识图谱作为辅助信息用于推荐系统的一篇综述。
RippleNet: Propagating user preferences on the knowledge graph for recommender systems. In Proceedings of the 27th ACM International Conference Information and Knowledge Management, Torino, Italy, 22–26 October 2018; pp. 417–426. [Google Scholar] Yang, Y.; Jaechoon, J.; Lim, H. Unifying ...