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
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cybernetics"
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
MMAGL: Multiobjective Multiview Attributed Graph Learning for Joint Clustering of Hyperspectral and LiDAR Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3540269
Abstract: The joint clustering of multimodal remote sensing (RS) data represents a multiobjective optimization challenge involving conflicting modality-specific objectives and diverse regularization objectives. Current approaches to multiview subspace clustering (MVSC) often oversimplify this task by transforming… read more here.
Keywords: multiobjective multiview; multiview attributed; graph learning; attributed graph ... See more keywords
On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2024.3351107
Abstract: Graph alignment aims at finding the vertex correspondence between two correlated graphs, a task that frequently occurs in graph mining applications such as social network analysis. Attributed graph alignment is a variant of graph alignment,… read more here.
Keywords: graph alignment; efficient algorithms; alignment; feasible region ... 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
Kernel Based Dual-Channel Attributed Graph Community Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2023.3302530
Abstract: Community detection is an important tool for analyzing and understanding large-scale complex networks. It can divide the network nodes into multiple communities, which have dense intra-community connections and sparse inter-community connections. Traditional community detection algorithms… read more here.
Keywords: attributed graph; channel attributed; dual channel; community detection ... See more keywords