SOTAVerified

Graph Clustering

Graph Clustering is the process of grouping the nodes of the graph into clusters, taking into account the edge structure of the graph in such a way that there are several edges within each cluster and very few between clusters. Graph Clustering intends to partition the nodes in the graph into disjoint groups.

Source: Clustering for Graph Datasets via Gumbel Softmax

Papers

Showing 251300 of 393 papers

TitleStatusHype
Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training0
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction0
Constant Approximation for Normalized Modularity and Associations Clustering0
Contrastive Graph Clustering in Curvature Spaces0
Conversation Group Detection With Spatio-Temporal Context0
COREclust: a new package for a robust and scalable analysis of complex data0
Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation0
Deep Cut-informed Graph Embedding and Clustering0
DEEP GEOMETRICAL GRAPH CLASSIFICATION0
Deep Graph Clustering via Mutual Information Maximization and Mixture Model0
Deep Modularity Networks with Diversity--Preserving Regularization0
Deep neural networks for learning graph representations0
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting0
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation0
Distributed Distributional Similarities of Google Books Over the Centuries0
Distributed Graph Clustering by Load Balancing0
Do logarithmic proximity measures outperform plain ones in graph clustering?0
Dual Information Enhanced Multi-view Attributed Graph Clustering0
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering0
Dynamic Joint Variational Graph Autoencoders0
Effective and Scalable Clustering on Massive Attributed Graphs0
Efficient Eigen-updating for Spectral Graph Clustering0
Efficient model selection in switching linear dynamic systems by graph clustering0
_2-norm Flow Diffusion in Near-Linear Time0
Embedding Graph Auto-Encoder for Graph Clustering0
Expander Hierarchies for Normalized Cuts on Graphs0
Faster Clustering via Non-Backtracking Random Walks0
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees0
Federated Temporal Graph Clustering0
Flexible and Robust Co-Regularized Multi-Domain Graph Clustering.0
Flow-Based Algorithms for Local Graph Clustering0
flow-based clustering and spectral clustering: a comparison0
G^2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering0
Geometry-Aware Neighborhood Search for Learning Local Models for Image Reconstruction0
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification0
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization0
Graph Clustering Bandits for Recommendation0
Graph Clustering: Block-models and model free results0
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images0
Graph clustering with Boltzmann machines0
Graph Clustering with Cross-View Feature Propagation0
Graph Clustering with Graph Neural Networks0
Graph Clustering With Missing Data: Convex Algorithms and Analysis0
Graph learning methods to extract empathy supporting regions in a naturalistic stimuli fMRI0
Graphons, mergeons, and so on!0
Graphs in machine learning: an introduction0
HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering0
Hermitian matrices for clustering directed graphs: insights and applications0
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time0
Higher-Order Spectral Clustering of Directed Graphs0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1R-DGAEACC70.5Unverified
2R-GMM-VGAEACC68.9Unverified
3AGCACC67Unverified
4RWR-GAEACC61.6Unverified
5RWR-VGAEACC61.3Unverified
6ARGEACC57.3Unverified
7ARVGEACC54.4Unverified
8GAEACC40.8Unverified
9DAEGC+GSCAN†NMI39.9Unverified
#ModelMetricClaimedVerifiedStatus
1R-GMM-VGAEACC76.7Unverified
2R-DGAEACC73.7Unverified
3AGCACC68.92Unverified
4RWR-VGAEACC68.5Unverified
5RWR-GAEACC66.9Unverified
6ARGEACC64Unverified
7ARVGEACC63.8Unverified
8GAEACC59.6Unverified
9DAEGC+GSCAN†NMI52.4Unverified
#ModelMetricClaimedVerifiedStatus
1R-GMM-VGAEACC74Unverified
2RWR-VGAEACC73.6Unverified
3RWR-GAEACC72.6Unverified
4R-DGAEACC71.4Unverified
5AGCACC69.78Unverified
6VGAEACC65.48Unverified
7DAEGC+GSCAN†NMI31.7Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index1Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.46Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.91Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.95Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.81Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.81Unverified