作者提出了一个多层图神经网络模型来学习历史行为和周围环境对当前事件的影响,并生成一个有效的事件表示,以提高响应模型的准确性。 1. Introduction 作者对三种事件做了一个分析: 如:预览和发出请求、取消订单、完成订单等。 关于作者对这个模型的分析如下: 对每一个事件,系统都需要动态的构建一个事件图(graph),因...
文中提出了一个概念叫heterogeneous session(h-session)。比如在一次打车的行为过程中,在PreView事件之后,可能会有Request, Finish_Order, Cancel_Order等,这些事件就属于一个h-session,描述了用户一次完整的打车行为。 构建完异构图后,文中提出了一种新的图学习算法REGNN(Real-time Event Graph Neural Network)来生...
https://www.researchgate.net/publication/320195531_Continuous-Time_Relationship_Prediction_in_Dynamic_Heterogeneous_Information_Networks 相关数据集: DBLP Delicious MovieLens 是否有开源代码: 无 24. Continuous-Time Dynamic Graph Learning via Neural Interaction Processes 作者: Xiaofu Chang, et al.(Ant Group)...
In this chapter, we will introduce three dynamic graph neural networks for temporal modeling of evolving structures, including simple homogeneous topologies and temporal heterogeneous graphs.Ji, YugangBeijing University of Posts and Telecommunications
social-networkknowledge-graphheterogeneous-networkdynamic-graphsgraph-neural-networkdynamic-heterogeneous-networks Updatedon Nov 12, 2021 aravindsankar28/GraFRank Star13 Code Issues Pull requests Code for "Graph Neural Networks for Friend Ranking in Large-scale Social Platforms" (WWW 2021). ...
knowledge-graphtemporal-networksdynamic-networksgraph-neural-networkstemporal-reasoningtemporal-knowledge-graphknowledge-reasoning UpdatedAug 31, 2023 Python rootlu/DyHNE Star40 Code Issues Pull requests Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path ba...
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks Target-Based Sentiment Analysis aims to detect the opinion aspects (aspect extraction) and the sentiment polarities (sentiment detection) towards them. Both the previous pipeline and integrated methods fail to precisely ...
Dynamic graph embeddingGraph embedding has attracted many research interests. Existing works mainly focus on static homogeneous/heterogeneous networks or dynamic homogeneous networks. However, dynamic heterogeneous...doi:10.1007/978-3-030-45442-5_53Luwei Yang...
Temporal Augmented Graph Neural Networks for Session-Based Recommendations (SIGIR SHORT, 2021) [paper] HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding (WWW, 2021) [paper][code]
链接:https://www.researchgate.net/publication/320195531_Continuous-Time_Relationship_Prediction_in_Dynamic_Heterogeneous_Information_Networks 相关数据集: DBLP Delicious MovieLens 是否有开源代码:无 Continuous-Time Dynamic Graph Learning via Neural Interaction Processes ...