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Community Detection
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Community Detection is one of the fundamental problems in network analysis, where the goal is to find groups of nodes that are, in some sense, more similar to each other than to the other nodes.
Source: Randomized Spectral Clustering in Large-Scale Stochastic Block Models
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering
Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs
Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach
Strongly Consistent Community Detection in Popularity Adjusted Block Models
Speaker Diarization with Overlapping Community Detection Using Graph Attention Networks and Label Propagation Algorithm
Optimal community detection in dense bipartite graphs
Pre-trained Prompt-driven Semi-supervised Local Community Detection
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion
NAZM: Network Analysis of Zonal Metrics in Persian Poetic Tradition
Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models
A Noise-Resilient Semi-Supervised Graph Autoencoder for Overlapping Semantic Community Detection
Community and hyperedge inference in multiple hypergraphs
Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy
New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics
Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation
Robust Markov stability for community detection at a scale learned based on the structure
Privacy-Preserving Transfer Learning for Community Detection using Locally Distributed Multiple Networks
A Local Perspective-based Model for Overlapping Community Detection
Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas
Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures
Revisiting FastMap: New Applications
Unifying Structural Proximity and Equivalence for Enhanced Dynamic Network Embedding
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
Community Detection by ELPMeans: An Unsupervised Approach That Uses Laplacian Centrality and Clustering
The Robustness of Structural Features in Species Interaction Networks
Fitting networks with a cancellation trick
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities
Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems
Comparative Analysis of Community Detection Algorithms on the SNAP Social Circles Dataset
Induced Modularity and Community Detection for Functionally Interpretable Reinforcement Learning
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph
Principal Graph Encoder Embedding and Principal Community Detection
Improving Fine-Tuning with Latent Cluster Correction
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