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 276300 of 393 papers

TitleStatusHype
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
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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