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 301350 of 393 papers

TitleStatusHype
Human Semantic Segmentation using Millimeter-Wave Radar Sparse Point Clouds0
Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization0
Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs0
Improved Dual Correlation Reduction Network0
Improved Graph Clustering0
Incorporating Higher-order Structural Information for Graph Clustering0
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering0
Independence Promoted Graph Disentangled Networks0
Influence-Based Mini-Batching for Graph Neural Networks0
Information Recovery in Shuffled Graphs via Graph Matching0
Integration of graph clustering with ant colony optimization for feature selection0
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity0
KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs0
Multiway p-spectral graph cuts on Grassmann manifolds0
L2F/INESC-ID at SemEval-2019 Task 2: Unsupervised Lexical Semantic Frame Induction using Contextualized Word Representations0
Large Language Models and Knowledge Graphs for Astronomical Entity Disambiguation0
Large Scale Video Representation Learning via Relational Graph Clustering0
Layout-Graph Reasoning for Fashion Landmark Detection0
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time0
Learning Graph Embedding with Adversarial Training Methods0
Learning Graph Representations by Dendrograms0
Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering0
Local Algorithms for Estimating Effective Resistance0
Local Graph Clustering Beyond Cheeger's Inequality0
Local Graph Clustering with Network Lasso0
Local Graph Clustering with Noisy Labels0
Lost in Discussion? Tracking Opinion Groups in Complex Political Discussions by the Example of the FOMC Meeting Transcriptions0
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling0
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering0
Marginalized graph autoencoder for graph clustering0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation0
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k0
Matrix Completion with Hierarchical Graph Side Information0
Mean Field Analysis of Personalized PageRank with Implications for Local Graph Clustering0
Median evidential c-means algorithm and its application to community detection0
Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation0
Model Reduction of Consensus Network Systems via Selection of Optimal Edge Weights and Nodal Time-Scales0
Modularity aided consistent attributed graph clustering via coarsening0
Modular Training of Neural Networks aids Interpretability0
Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline0
Possibility results for graph clustering: A novel consistency axiom0
BGC: Multi-Agent Group Belief with Graph Clustering0
Multicuts and Perturb & MAP for Probabilistic Graph Clustering0
Multi-factor Sequential Re-ranking with Perception-Aware Diversification0
Multigraph Clustering for Unsupervised Coreference Resolution0
Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks0
Multilayer Graph Contrastive Clustering Network0
OrthoNet: Multilayer Network Data Clustering0
Multilayer Spectral Graph Clustering via Convex Layer Aggregation0
Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms0
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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