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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Modeli Bllokues Stokastik×Rrjeti me Vëmendje Grafike×Grupimi Hierarkik×
FushaAnaliza e rrjeteveMësimi i thellëMësimi i makinës
FamiljaProcess / pipelineMachine learningMachine learning
Viti i origjinës198320181963
KrijuesiVeličković, P. et al.Ward, J. H.
LlojiProbabilistic generative graph modelGraph neural network (attention-based)Unsupervised clustering (agglomerative)
Burimi themeluesHolland, P.W., Laskey, K.B. & Leinhardt, S. (1983). Stochastic Blockmodels: First Steps. Social Networks, 5(2), 109-137. DOI ↗Veličković, P. et al. (2018). Graph Attention Networks. ICLR. link ↗Ward, J. H. (1963). Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association, 58(301), 236–244. DOI ↗
Emërtime të tjeraSBM, degree-corrected SBM, DCSBM, Stokastik Blok Modeli (SBM)Graf Dikkat Ağı (GAT), GAT, graph attention network, attention-based graph neural networkHiyerarşik Kümeleme, hiyerarşik kümeleme, agglomerative clustering, hierarchical agglomerative clustering
Të lidhura744
PërmbledhjaThe Stochastic Block Model (SBM), introduced by Holland, Laskey and Leinhardt (1983), is a probabilistic generative model for graphs that assigns nodes to latent blocks and parametrically estimates the connection probabilities between blocks. It is the foundational approach for community detection, core-periphery identification, and hierarchical structure discovery in network analysis.The Graph Attention Network (GAT), introduced by Veličković and colleagues in 2018, is a graph neural network variant that learns how much importance to assign to each neighbouring node through a self-attention mechanism. On heterogeneous neighbourhoods and relational classification it produces results superior to graph convolutional networks (GCN).Hierarchical clustering is an unsupervised method that groups observations into nested clusters and draws the result as a dendrogram, so the number of clusters need not be fixed in advance. Its agglomerative form rests on the objective-function grouping criterion introduced by Joe Ward in 1963.
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ScholarGateKrahasoni metodat: Stochastic Block Model · Graph Attention Network · Hierarchical Clustering. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare