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
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline0
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering0
Multiway p-spectral graph cuts on Grassmann manifolds0
KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs0
BGC: Multi-Agent Group Belief with Graph Clustering0
Balanced Order Batching with Task-Oriented Graph Clustering0
Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation0
Sketching semidefinite programs for faster clustering0
Scaling Graph Clustering with Distributed Sketches0
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation0
Graph Clustering with Graph Neural Networks0
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clusteringCode0
Large Scale Video Representation Learning via Relational Graph Clustering0
PageRank and The K-Means Clustering Algorithm0
Comparison and Benchmark of Graph Clustering AlgorithmsCode0
A Model for Image Segmentation in Retina0
Community Detection Clustering via Gumbel Softmax0
Local Graph Clustering with Network Lasso0
Incorporating User's Preference into Attributed Graph ClusteringCode0
Pruned Neural Networks are Surprisingly ModularCode0
Parameterized Correlation Clustering in Hypergraphs and Bipartite GraphsCode0
Embedding Graph Auto-Encoder for Graph Clustering0
A Group Norm Regularized Factorization Model for Subspace Segmentation0
p-Norm Flow Diffusion for Local Graph ClusteringCode0
A Non-negative Symmetric Encoder-Decoder Approach for Community DetectionCode0
Balancing the Tradeoff Between Clustering Value and InterpretabilityCode0
Independence Promoted Graph Disentangled Networks0
Gromov-Wasserstein Factorization Models for Graph ClusteringCode0
Dynamic Joint Variational Graph Autoencoders0
Layout-Graph Reasoning for Fashion Landmark Detection0
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging0
Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering0
Correlation Clustering with Same-Cluster Queries Bounded by Optimal CostCode0
RWR-GAE: Random Walk Regularization for Graph Auto EncodersCode0
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation LearningCode0
Hermitian matrices for clustering directed graphs: insights and applications0
Improving Social Awareness Through DANTE: A Deep Affinity Network for Clustering Conversational InteractantsCode0
Attributed Graph Clustering: A Deep Attentional Embedding ApproachCode0
Statistical guarantees for local graph clustering0
Attributed Graph Clustering via Adaptive Graph ConvolutionCode0
L2F/INESC-ID at SemEval-2019 Task 2: Unsupervised Lexical Semantic Frame Induction using Contextualized Word Representations0
Clustering-aware Graph Construction: A Joint Learning Perspective0
Neighbor Similarity Based Agglomerative Method for Community Detection in Networks0
DEEP GEOMETRICAL GRAPH CLASSIFICATION0
Discrete Optimal Graph ClusteringCode0
Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks0
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph ClusteringCode0
An Internal Validity Index Based on Density-Involved DistanceCode0
Ensemble Clustering for Graphs: Comparisons and ApplicationsCode0
Learning Resolution Parameters for Graph ClusteringCode0
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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