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基于对比学习的全局增强动态异质图神经网络
图神经网络由于其对图结构数据的强大表征能力近年来受到广泛关注.现有图神经网络方法主要建模静态同质图数据，然而现实世界复杂系统往往包含多类型动态演化的实体及关系，此类复杂系统更适合建模为动态异质图.目前，动态异质图表示学习方法主要集中于半监督学习范式，其存在监督信息昂贵和 …
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基于对比学习的全局增强动态异质图神经网络
图神经网络由于其对图结构数据的强大表征能力近年来受到广泛关注.现有图神经网络方法主要建模静态同质图数据，然而现实世界复杂系统往往包含多类型动态演化的实体及关系，此类复杂系统更适合建模为动态异质图.目前，动态异质图表示学习方法主要集中于半监督学习范式，其存在监督信息昂贵和 …
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角色导向的网络表示学习综述
网络表示学习是一种将网络节点映射到低维、连续的实值向量空间上的技术,它在网络分析中发挥着重要作用.社团导向的网络表示学习作为目前研究的主要分支之一,主张在学习的节点表示中保持自身的社团属性,如节点的邻近性,使得相近节点具有相似表示.这类方法虽然可以挖掘现实系统中具有明显 …
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Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism
Network representation learning or embedding aims to project the network into a low-dimensional space that can be devoted to different …
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Green Parallel Online Offloading for DSCI-Type Tasks in IoT-Edge Systems
In order to meet people’s demands for intelligent and user-friendly Internet of Things (IoT) services, the amount of computation is …
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A Survey on Role-Oriented Network Embedding
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Block Modeling-Guided Graph Convolutional Neural Networks
Graph Convolutional Network (GCN) has shown remarkable potential of exploring graph representation. However, the GCN aggregating …
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EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments
With the popularity of mobile devices, intelligent applications, e.g., face recognition, intelligent voice assistant, and gesture …
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Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks
Network embedding is an important class of link prediction methods, which can use the distance between learned low-dimensional node …
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DMRO: A Deep Meta Reinforcement Learning-Based Task Offloading Framework for Edge-Cloud Computing
With the explosive growth of mobile data and the unprecedented demand for computing power, resource-constrained edge devices cannot …
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