{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/community-detection/papers/6","list_of":"/task/community-detection","task":"Community Detection","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":6,"pages_in_order":10,"rows_per_page":100,"rows":[501,600],"of":919,"counts":{"archive_papers_tagged":919,"with_a_code_link":263,"where_syntology_ran_a_sample":16,"not_listed_spam_title":0,"listed":919,"listed_where_code_ran":16,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":14,"every_run_a_failure_of_syntologys_instrument":2,"listed_with_a_run_with_no_instrument_failure":14,"listed_every_run_a_failure_of_syntologys_instrument":2,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/community-detection","prev":"/task/community-detection/papers/5","next":"/task/community-detection/papers/7","papers":[{"url":null,"slug":"providing-an-approach-to-predicting-customer","title":"Providing an Approach to Predicting Customer Quality in E-Commerce Social Networks Based on Big Data and Unsupervised Learning Method","date":"2021-09-05","arxiv_id":"2109.02080","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-detection-in-cryptocurrencies-with","title":"Community Detection in Cryptocurrencies with Potential Applications to Portfolio Diversification","date":"2021-08-22","arxiv_id":"2108.09763","repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-illicit-drug-dealers-on-instagram","title":"Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion","date":"2021-08-18","arxiv_id":"2108.08301","repositories_listed":0,"syntology":null},{"url":null,"slug":"topology-guided-sampling-for-fast-and","title":"SamBaS: Sampling-Based Stochastic Block Partitioning","date":"2021-08-15","arxiv_id":"2108.06651","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-for-multi-view-classification-of","title":"A Framework for Multi-View Classification of Features","date":"2021-08-02","arxiv_id":"2108.01019","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-random-matrix-perspective-on-random-tensors","title":"A Random Matrix Perspective on Random Tensors","date":"2021-08-02","arxiv_id":"2108.00774","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-clustering-in-ad-hoc-networks","title":"Data-driven Clustering in Ad-hoc Networks based on Community Detection","date":"2021-08-02","arxiv_id":"2108.00600","repositories_listed":0,"syntology":null},{"url":null,"slug":"biggraphvis-leveraging-streaming-algorithms","title":"BigGraphVis: Leveraging Streaming Algorithms and GPU Acceleration for Visualizing Big Graphs","date":"2021-08-01","arxiv_id":"2108.00529","repositories_listed":0,"syntology":null},{"url":null,"slug":"international-trade-network-country","title":"International Trade Network: Country centrality and COVID-19 pandemic","date":"2021-07-30","arxiv_id":"2107.14554","repositories_listed":0,"syntology":null},{"url":null,"slug":"federated-myopic-community-detection-with-one","title":"Federated Myopic Community Detection with One-shot Communication","date":"2021-06-14","arxiv_id":"2106.07255","repositories_listed":0,"syntology":null},{"url":null,"slug":"streaming-belief-propagation-for-community","title":"Streaming Belief Propagation for Community Detection","date":"2021-06-09","arxiv_id":"2106.04805","repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-linked-fraudulent-activities","title":"Identifying Linked Fraudulent Activities Using GraphConvolution Network","date":"2021-06-05","arxiv_id":"2106.04513","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-rank-projections-of-gcns-laplacian","title":"Low-Rank Projections of GCNs Laplacian","date":"2021-06-04","arxiv_id":"2106.07360","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-survey-on-community-detection","title":"A Comprehensive Survey on Community Detection with Deep Learning","date":"2021-05-26","arxiv_id":"2105.12584","repositories_listed":0,"syntology":null},{"url":null,"slug":"topic-modeling-and-progression-of-american","title":"Topic Modeling and Progression of American Digital News Media During the Onset of the COVID-19 Pandemic","date":"2021-05-25","arxiv_id":"2106.09572","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-base-data-to-knowledge-discovery-a-life","title":"From Base Data To Knowledge Discovery -- A Life Cycle Approach -- Using Multilayer Networks","date":"2021-05-24","arxiv_id":"2105.11410","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-interpretable-graph-based-mapping-of","title":"An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research","date":"2021-05-13","arxiv_id":"2105.06591","repositories_listed":0,"syntology":null},{"url":null,"slug":"memory-aware-framework-for-fast-and-scalable","title":"Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs","date":"2021-05-07","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-community-detection-performance-in","title":"Improving Community Detection Performance in Heterogeneous Music Network by Learning Edge-type Usefulness Distribution","date":"2021-05-03","arxiv_id":"2105.00627","repositories_listed":0,"syntology":null},{"url":null,"slug":"tail-net-extracting-lowest-singular-triplets","title":"Tail-Net: Extracting Lowest Singular Triplets for Big Data Applications","date":"2021-04-28","arxiv_id":"2104.13968","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-nonlinear-granger-causality-for","title":"Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data","date":"2021-04-09","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mining-trends-of-covid-19-vaccine-beliefs-on","title":"Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings","date":"2021-04-02","arxiv_id":"2104.01131","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-detection-in-general-hypergraph-via","title":"Community Detection in General Hypergraph via Graph Embedding","date":"2021-03-28","arxiv_id":"2103.15035","repositories_listed":0,"syntology":null},{"url":null,"slug":"term-community-based-topic-detection-with","title":"Term-community-based topic detection with variable resolution","date":"2021-03-25","arxiv_id":"2103.13550","repositories_listed":0,"syntology":null},{"url":null,"slug":"tecominer-topic-discovery-through-term","title":"TeCoMiner: Topic Discovery Through Term Community Detection","date":"2021-03-23","arxiv_id":"2103.12882","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-automatic-quasi-clique-merger-algorithm","title":"The Automatic Quasi-clique Merger algorithm (AQCM)","date":"2021-03-06","arxiv_id":"2103.04186","repositories_listed":0,"syntology":null},{"url":null,"slug":"graphbreak-tool-for-network-community-based","title":"GraphBreak: Tool for Network Community based Regulatory Medicine, Gene co-expression, Linkage Disequilibrium analysis, functional annotation and more","date":"2021-02-24","arxiv_id":"2103.06145","repositories_listed":0,"syntology":null},{"url":null,"slug":"graphfool-targeted-label-adversarial-attack","title":"Graphfool: Targeted Label Adversarial Attack on Graph Embedding","date":"2021-02-24","arxiv_id":"2102.12284","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-communities-in-a-gossip-model-with","title":"Community Structure Recovery and Interaction Probability Estimation for Gossip Opinion Dynamics","date":"2021-02-19","arxiv_id":"2102.09683","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-thorough-view-of-exact-inference-in-graphs","title":"A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy","date":"2021-02-16","arxiv_id":"2102.08019","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-detection-exact-recovery-in","title":"Community Detection: Exact Recovery in Weighted Graphs","date":"2021-02-08","arxiv_id":"2102.04439","repositories_listed":0,"syntology":null},{"url":null,"slug":"overcoming-bias-in-community-detection","title":"Overcoming Bias in Community Detection Evaluation","date":"2021-02-06","arxiv_id":"2102.03472","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-detection-with-a-subsampled","title":"Community Detection with a Subsampled Semidefinite Program","date":"2021-02-02","arxiv_id":"2102.01419","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-theoretic-limits-of-exact","title":"Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection","date":"2021-01-29","arxiv_id":"2101.12369","repositories_listed":0,"syntology":null},{"url":null,"slug":"consistency-of-random-walk-based-network","title":"Exact Recovery of Community Structures Using DeepWalk and Node2vec","date":"2021-01-18","arxiv_id":"2101.07354","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multilevel-clustering-technique-for","title":"A multilevel clustering technique for community detection","date":"2021-01-16","arxiv_id":"2101.06551","repositories_listed":0,"syntology":null},{"url":null,"slug":"overlapping-community-detection-in-temporal","title":"Overlapping Community Detection in Temporal Text Networks","date":"2021-01-13","arxiv_id":"2101.05137","repositories_listed":0,"syntology":null},{"url":null,"slug":"zombie-account-detection-based-on-community","title":"Zombie Account Detection Based on Community Detection and Uneven Assignation PageRank","date":"2021-01-04","arxiv_id":"2101.00922","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-community-detection-approaches","title":"A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning","date":"2021-01-03","arxiv_id":"2101.01669","repositories_listed":0,"syntology":null},{"url":null,"slug":"estimation-of-number-of-communities-in","title":"Estimation of Number of Communities in Assortative Sparse Networks","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"vecoder-variational-embeddings-for-community","title":"VECoDeR - Variational Embeddings for Community Detection and Node Representation","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-node-classification-on-graphs","title":"Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks","date":"2020-12-24","arxiv_id":"2012.13085","repositories_listed":0,"syntology":null},{"url":null,"slug":"estimating-mixed-memberships-using-the","title":"Estimating Mixed-Memberships Using the Symmetric Laplacian Inverse Matrix","date":"2020-12-17","arxiv_id":"2012.09561","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-graph-embedding-methods-and","title":"Understanding graph embedding methods and their applications","date":"2020-12-15","arxiv_id":"2012.08019","repositories_listed":0,"syntology":null},{"url":null,"slug":"mixed-score-for-mixed-membership-community","title":"Mixed-SCORE+ for mixed membership community detection","date":"2020-12-07","arxiv_id":"2012.03725","repositories_listed":0,"syntology":null},{"url":null,"slug":"spectral-clustering-via-adaptive-layer","title":"Spectral clustering via adaptive layer aggregation for multi-layer networks","date":"2020-12-07","arxiv_id":"2012.04646","repositories_listed":0,"syntology":null},{"url":null,"slug":"ising-based-louvain-method-clustering-large","title":"Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware","date":"2020-12-06","arxiv_id":"2012.11391","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-adversarially-robust","title":"Unsupervised Adversarially-Robust Representation Learning on Graphs","date":"2020-12-04","arxiv_id":"2012.02486","repositories_listed":0,"syntology":null},{"url":null,"slug":"global-and-individualized-community-detection","title":"Global and Individualized Community Detection in Inhomogeneous Multilayer Networks","date":"2020-12-02","arxiv_id":"2012.00933","repositories_listed":0,"syntology":null},{"url":null,"slug":"estimating-network-memberships-by-mixed","title":"Consistency of regularized spectral clustering in degree-corrected mixed membership model","date":"2020-11-23","arxiv_id":"2011.12239","repositories_listed":0,"syntology":null},{"url":null,"slug":"statistical-and-computational-thresholds-for","title":"Statistical and computational thresholds for the planted $k$-densest sub-hypergraph problem","date":"2020-11-23","arxiv_id":"2011.11500","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextual-stochastic-block-model-sharp","title":"Contextual Stochastic Block Model: Sharp Thresholds and Contiguity","date":"2020-11-15","arxiv_id":"2011.09841","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-detection-in-network-neuroscience","title":"Community detection in network neuroscience","date":"2020-11-13","arxiv_id":"2011.06723","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-improved-spectral-clustering-method-for","title":"An improved spectral clustering method for community detection under the degree-corrected stochastic blockmodel","date":"2020-11-12","arxiv_id":"2011.06374","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-detection-by-principle-components","title":"Community Detection by Principal Components Clustering Methods","date":"2020-11-09","arxiv_id":"2011.04377","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-regularized-laplacian-spectral","title":"Dual regularized Laplacian spectral clustering methods on community detection","date":"2020-11-09","arxiv_id":"2011.04392","repositories_listed":0,"syntology":null},{"url":null,"slug":"robustness-of-community-detection-to-random","title":"Robustness of Community Detection to Random Geometric Perturbations","date":"2020-11-09","arxiv_id":"2011.04298","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-community-detection-into-analyzing-of","title":"Dynamic Community Detection into Analyzing of Wildfires Events","date":"2020-11-02","arxiv_id":"2011.01140","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-the-similarity-of-grammatical","title":"Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions","date":"2020-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-coevolutionary-variable-neighborhood-search","title":"A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs","date":"2020-09-30","arxiv_id":"2009.14477","repositories_listed":0,"syntology":null},{"url":null,"slug":"linear-sample-learning-of-low-rank","title":"Linear-Sample Learning of Low-Rank Distributions","date":"2020-09-30","arxiv_id":"2010.00064","repositories_listed":0,"syntology":null},{"url":null,"slug":"sketch-based-community-detection-in-evolving","title":"Sketch-based community detection in evolving networks","date":"2020-09-24","arxiv_id":"2009.11835","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-use-of-local-structural-properties-for","title":"On the use of local structural properties for improving the efficiency of hierarchical community detection methods","date":"2020-09-15","arxiv_id":"2009.06798","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-detection-in-networks-using-graph-1","title":"Community detection in networks using graph embeddings","date":"2020-09-11","arxiv_id":"2009.05265","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-user-community-in-sparse-domain-via","title":"Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning","date":"2020-09-06","arxiv_id":"2009.02637","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-personalized-community-detection","title":"Efficient Personalized Community Detection via Genetic Evolution","date":"2020-09-06","arxiv_id":"2009.02657","repositories_listed":0,"syntology":null},{"url":null,"slug":"exact-recovery-of-community-detection-in-k","title":"Exact Recovery of Community Detection in k-Community Gaussian Mixture Model","date":"2020-08-29","arxiv_id":"2009.01185","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-aware-graph-signal-processing","title":"Community-Aware Graph Signal Processing","date":"2020-08-24","arxiv_id":"2008.10375","repositories_listed":0,"syntology":null},{"url":null,"slug":"topicbert-a-transformer-transfer-learning","title":"TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection","date":"2020-08-16","arxiv_id":"2008.06877","repositories_listed":0,"syntology":null},{"url":null,"slug":"big-networks-a-survey","title":"Big Networks: A Survey","date":"2020-08-09","arxiv_id":"2008.03638","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-models-for-partially-observed","title":"Community models for networks observed through edge nominations","date":"2020-08-09","arxiv_id":"2008.03652","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-smart-conference-participation","title":"Improving Smart Conference Participation through Socially-Aware Recommendation","date":"2020-08-09","arxiv_id":"2008.06310","repositories_listed":0,"syntology":null},{"url":null,"slug":"spectral-algorithms-for-community-detection","title":"Spectral Algorithms for Community Detection in Directed Networks","date":"2020-08-09","arxiv_id":"2008.03820","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-community-detection-based-genetic","title":"A Novel Community Detection Based Genetic Algorithm for Feature Selection","date":"2020-08-08","arxiv_id":"2008.03543","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-detection-in-sparse-latent-space","title":"Community detection in sparse latent space models","date":"2020-08-04","arxiv_id":"2008.01375","repositories_listed":0,"syntology":null},{"url":null,"slug":"simplification-of-graph-convolutional","title":"Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective","date":"2020-07-17","arxiv_id":"2007.09036","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-community-detection-algorithms-for","title":"Evaluating Community Detection Algorithms for Progressively Evolving Graphs","date":"2020-07-16","arxiv_id":"2007.08635","repositories_listed":0,"syntology":null},{"url":null,"slug":"grade-graph-dynamic-embedding","title":"GRADE: Graph Dynamic Embedding","date":"2020-07-16","arxiv_id":"2007.08060","repositories_listed":0,"syntology":null},{"url":null,"slug":"inverse-graph-identification-can-we-identify","title":"Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?","date":"2020-07-12","arxiv_id":"2007.05970","repositories_listed":0,"syntology":null},{"url":null,"slug":"next-waves-in-veridical-network-embedding","title":"Next Waves in Veridical Network Embedding","date":"2020-07-10","arxiv_id":"2007.05385","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-detection-and-social-network","title":"Community detection and Social Network analysis based on the Italian wars of the 15th century","date":"2020-07-06","arxiv_id":"2007.02641","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-retrieval-and-extraction-on-covid","title":"Information Retrieval and Extraction on COVID-19 Clinical Articles Using Graph Community Detection and Bio-BERT Embeddings","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-analyzing-large-graphs-with-quantum","title":"Towards analyzing large graphs with quantum annealing and quantum gate computers","date":"2020-06-30","arxiv_id":"2006.16702","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-detection-and-percolation-of","title":"Community detection and percolation of information in a geometric setting","date":"2020-06-28","arxiv_id":"2006.15574","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-ell-p-theory-of-pca-and-spectral","title":"An $\\ell_p$ theory of PCA and spectral clustering","date":"2020-06-24","arxiv_id":"2006.14062","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-based-data-integration-of-course","title":"Community-Based Data Integration of Course and Job Data in Support of Personalized Career-Education Recommendations","date":"2020-06-24","arxiv_id":"2006.13864","repositories_listed":0,"syntology":null},{"url":null,"slug":"applying-machine-learning-techniques-for","title":"Applying Machine Learning Techniques for Caching in Edge Networks: A Comprehensive Survey","date":"2020-06-21","arxiv_id":"2006.16864","repositories_listed":0,"syntology":null},{"url":null,"slug":"performance-in-the-courtroom-automated","title":"Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France","date":"2020-06-11","arxiv_id":"2006.06251","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncovering-the-mesoscale-structure-of-the","title":"Uncovering the mesoscale structure of the credit default swap market to improve portfolio risk modelling","date":"2020-06-04","arxiv_id":"2006.03014","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-stochastic-block-model-scalable","title":"Neural Stochastic Block Model & Scalable Community-Based Graph Learning","date":"2020-05-16","arxiv_id":"2005.07855","repositories_listed":0,"syntology":null},{"url":null,"slug":"sampling-community-structure","title":"Sampling Community Structure","date":"2020-05-13","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-graph-semantic-enhancement-of-input","title":"Knowledge Graph semantic enhancement of input data for improving AI","date":"2020-05-10","arxiv_id":"2005.04726","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolutionary-multi-objective-optimization-3","title":"Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks","date":"2020-05-07","arxiv_id":"2005.03181","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-for-graph-datasets-via-gumbel","title":"Community Detection Clustering via Gumbel Softmax","date":"2020-05-05","arxiv_id":"2005.02372","repositories_listed":0,"syntology":null},{"url":null,"slug":"finding-structural-hole-spanners-based-on","title":"Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks","date":"2020-04-24","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"strong-consistency-graph-laplacians-and-the","title":"Strong Consistency, Graph Laplacians, and the Stochastic Block Model","date":"2020-04-21","arxiv_id":"2004.09780","repositories_listed":0,"syntology":null},{"url":null,"slug":"word-embedding-based-text-processing-for","title":"Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction","date":"2020-04-21","arxiv_id":"2004.09719","repositories_listed":0,"syntology":null},{"url":null,"slug":"provable-overlapping-community-detection-in","title":"Provable Overlapping Community Detection in Weighted Graphs","date":"2020-04-15","arxiv_id":"2004.07150","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-permuted-striped-block-model-and-its","title":"Encoder blind combinatorial compressed sensing","date":"2020-04-10","arxiv_id":"2004.05094","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-dynamic-community-structure-in","title":"Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach","date":"2020-04-09","arxiv_id":"2004.04362","repositories_listed":0,"syntology":null}],"record_sha256":"8af3e5b39bebef1c6716ee7505174d6bd06218fd246af01aaf6c574cf6974840","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}