Papers with Code 아카이브

Stochastic Block Model

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/jjimola/dphc

공식 코드

Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees

https://git.skewed.de/count0/graph-tool

공식 코드

Nonparametric Bayesian inference of the microcanonical stochastic block model

https://github.com/AGhasemian/CommunityFitNet

공식 코드

Evaluating Overfit and Underfit in Models of Network Community Structure

https://github.com/GaelPouxMedard/IMMSBM

공식 코드

Interactions in information spread: quantification and interpretation using stochastic block models

https://github.com/InterpretableClustering/InterpretableClustering

공식 코드

Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks

https://github.com/Mishne-Lab/DiSC

공식 코드

DiSC: Differential Spectral Clustering of Features

https://github.com/NaGho/Community-Detection-From-Coarse-Measured-Graphs

공식 코드

Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model

https://github.com/RoheLab/aPPR

공식 코드

Targeted sampling from massive block model graphs with personalized PageRank

https://github.com/SitaoLuan/When-Do-GNNs-Help

공식 코드

When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability

https://github.com/WangJiangzhou/Fast-Network-Community-Detection-with-Profile-Pseudo-Likelihood-Methods

공식 코드

Fast Network Community Detection with Profile-Pseudo Likelihood Methods

https://github.com/aaamini/bcdc

공식 코드

Bayesian community detection for networks with covariates

https://github.com/aaamini/hsbm

공식 코드

Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks

https://github.com/airoldilab/SBA

공식 코드

Stochastic blockmodel approximation of a graphon: Theory and consistent estimation

https://github.com/alan-turing-institute/signet

공식 코드

SPONGE: A generalized eigenproblem for clustering signed networks

https://github.com/alexjungaalto/ResearchPublic

공식 코드

Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization

https://github.com/arseniionuchin/worm_clusterization

공식 코드

Perspectives and constraints on neural network models of neurobiological processes

https://github.com/arthurion98/KSBM-path-signatures

공식 코드

Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures

https://github.com/aufinal/hsbm

공식 코드

Sparse random hypergraphs: Non-backtracking spectra and community detection

https://github.com/benfinkelshtein/gnn-asymptotically-constant

공식 코드

Almost Surely Asymptotically Constant Graph Neural Networks

https://github.com/chenyuzzz73/rmultinet

공식 코드

rMultiNet: An R Package For Multilayer Networks Analysis

https://github.com/cshen6/graphemd

공식 코드

One-Hot Graph Encoder Embedding

https://github.com/cshen6/graphnn

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One-Hot Graph Encoder Embedding

https://github.com/dadacheng/smgcn

공식 코드

Homophily modulates double descent generalization in graph convolution networks

https://github.com/danielgribel/AssortativeSBM

공식 코드

Assortative-Constrained Stochastic Block Models

https://github.com/danielgribel/SSC-IPA

공식 코드

Semi-Supervised Clustering with Inaccurate Pairwise Annotations

https://github.com/frankfyf/joint_cluster_sync_sdp

공식 코드

Joint Community Detection and Rotational Synchronization via Semidefinite Programming

https://github.com/gaelpouxmedard/simsbm

공식 코드

Serialized Interacting Mixed Membership Stochastic Block Model

https://github.com/glmbraun/csbm

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An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees

https://github.com/glmbraun/vecsbm

공식 코드

VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates

https://github.com/google-research/graphworld

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Examining the Effects of Degree Distribution and Homophily in Graph Learning Models

https://github.com/ideaslabut/multivariate-community-hawkes

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The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks

https://github.com/iggallagher/Dynamic-Network-Embedding

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Spectral embedding for dynamic networks with stability guarantees

https://github.com/jesusdaniel/glmblock

공식 코드

Simultaneous prediction and community detection for networks with application to neuroimaging

https://github.com/jesusdaniel/spcaCD

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Overlapping community detection in networks via sparse spectral decomposition

https://github.com/jianhao2016/GPRGNN

공식 코드

Adaptive Universal Generalized PageRank Graph Neural Network

https://github.com/jiiwang/scalable_fair_spectral_clustering

공식 코드

Scalable Spectral Clustering with Group Fairness Constraints

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.