A fuzzy clustering based method for attributed graph partitioning
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-1054-2
Abstract: Graph partitioning methods in data mining have been widely used to discover protein complexes in protein–protein interaction (PPI) network. However, PPI networks with attributes need more effective attribute graph partitioning methods. Attribute graph partitioning aims… read more here.
Keywords: graph partitioning; attributed graph; fuzzy clustering; method attributed ... See more keywords
CoHomo: A cluster-attribute correlation aware graph clustering framework
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.002
Abstract: Abstract An attributed graph is a graph where nodes are associated with attributes describing their features. Clustering on an attributed graph is to detect clusters that have not only (1) cohesive structure; but also (2)… read more here.
Keywords: clustering framework; correlation; graph; graph clustering ... See more keywords
Dynamic Cluster Formation Game for Attributed Graph Clustering
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DOI: 10.1109/tcyb.2017.2772880
Abstract: Besides the topological structure, there are additional information, i.e., node attributes, on top of the plain graphs. Usually, these systems can be well modeled by attributed graphs, where nodes represent component actors, a set of… read more here.
Keywords: dynamic cluster; cluster; cluster formation; attributed graph ... See more keywords
Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3171583
Abstract: Attributed graph clustering aims to partition nodes of a graph structure into different groups. Recent works usually use variational graph autoencoder (VGAE) to make the node representations obey a specific distribution. Although they have shown… read more here.
Keywords: attributed graph; pseudo; graph; graph clustering ... See more keywords