{"total":15,"rows":[{"id":"2101.09611","title":"Generative hypergraph clustering: from blockmodels to modularity","created":"2021-01-24","cited_by_count":49,"area":null},{"id":"2110.07654","title":"Residual2Vec: Debiasing graph embedding with random graphs","created":"2021-10-14","cited_by_count":11,"area":null},{"id":"2208.02435","title":"Node Copying: A Random Graph Model for Effective Graph Sampling","created":"2022-08-04","cited_by_count":4,"area":null},{"id":"2112.00183","title":"Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths","created":"2021-11-30","cited_by_count":3,"area":null},{"id":"2201.01658","title":"Systematic assessment of the quality of fit of the stochastic block model for empirical networks","created":"2022-01-05","cited_by_count":1,"area":null},{"id":"2208.02162","title":"One Node at a Time: Node-Level Network Classification","created":"2022-08-03","cited_by_count":0,"area":null},{"id":"2209.03219","title":"Reconstructing signed relations from interaction data","created":"2022-09-07","cited_by_count":0,"area":null},{"id":"2310.07667","title":"Global Minima, Recoverability Thresholds, and Higher-Order Structure in GNNS","created":"2023-10-11","cited_by_count":0,"area":null},{"id":"2312.12973","title":"Sparse Mean Field Load Balancing in Large Localized Queueing Systems","created":"2023-12-20","cited_by_count":0,"area":null},{"id":"2405.00129","title":"Reconstructing networks from simple and complex contagions","created":"2024-04-30","cited_by_count":0,"area":null},{"id":"2606.11235","title":"Few-Shot Resampling for Scalable Statistically-Sound Data Mining","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2607.10571","title":"Learning from Local Walks on Dynamic Graphs with Bandit Feedback","created":"2026-07-12","cited_by_count":0,"area":null},{"id":"2607.22381","title":"Local-Global Geometric Insights for Graph Neural Networks via Entropic Curvature","created":"2026-07-24","cited_by_count":0,"area":null},{"id":"2609.35514","title":"One Proposal for Every Margin: Zero-Shot Amortized Sequential Importance Sampling for Binary Matrices","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.15659","title":"Testing Central Structure for Complex Networks","created":"2026-10-11","cited_by_count":0,"area":null}],"next_cursor":null}