Results 21 to 30 of about 274,931 (209)
Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions
Applied Network Science, 2023 Recent advances in network science have resulted in two distinct research directions aimed at augmenting and enhancing representations for complex networks.
Andrea Failla +2 more
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Co-MLHAN: contrastive learning for multilayer heterogeneous attributed networks
Applied Network Science, 2022 Graph representation learning has become a topic of great interest and many works focus on the generation of high-level, task-independent node embeddings for complex networks. However, the existing methods consider only few aspects of networks at a time.
Liliana Martirano +2 more
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Frontiers in Physics, 2022 Node classification, as a central task in the graph data analysis, has been studied extensively with network embedding technique for single-layer graph network. However, there are some obstacles when extending the single-layer network embedding technique
Beibei Han +4 more
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Effective attributed network embedding with information behavior extraction [PDF]
PeerJ Computer Science, 2022 Network embedding has shown its effectiveness in many tasks, such as link prediction, node classification, and community detection. Most attributed network embedding methods consider topological features and attribute features to obtain a node embedding ...
Ganglin Hu, Jun Pang, Xian Mo
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Ranking places in attributed temporal urban mobility networks.
PLoS ONE, 2020 Drawing on the recent advances in complex network theory, urban mobility flow patterns, typically encoded as origin-destination (OD) matrices, can be represented as weighted directed graphs, with nodes denoting city locations and weighted edges the ...
Mirco Nanni +3 more
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A Network Embedding-Enhanced NMF Method for Finding Communities in Attributed Networks
IEEE Access, 2022 Community detection is an extremely important task for complex network analysis. There still remains a challenge of how to improve the performance of community detection in real-world scenario.
Jinxin Cao +6 more
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A modified label propagation algorithm for community detection in attributed networks
International Journal of Information Management Data Insights, 2021 Community detection is an important problem in network science that discovers highly clustered groups of nodes having similar properties. Label propagation algorithm (LPA) is one of the popular clustering techniques that has attracted much attention due ...
Deepanshu Malhotra, Anuradha Chug
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Community Detection of Multi-Layer Attributed Networks via Penalized Alternating Factorization
Mathematics, 2020 Communities are often associated with important structural characteristics of a complex network system, therefore detecting communities is considered to be a fundamental problem in network analysis.
Jun Liu, Jiangzhou Wang, Binghui Liu
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A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
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Joint embedding of structure and features via graph convolutional networks
Applied Network Science, 2020 The creation of social ties is largely determined by the entangled effects of people’s similarities in terms of individual characters and friends. However, feature and structural characters of people usually appear to be correlated, making it difficult ...
Sébastien Lerique +2 more
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