{"total":22,"rows":[{"id":"2110.09899","title":"POLE: Polarized Embedding for Signed Networks","created":"2021-10-17","cited_by_count":17,"area":null},{"id":"2110.12344","title":"A Broader Picture of Random-walk Based Graph Embedding","created":"2021-10-24","cited_by_count":16,"area":null},{"id":"2102.00500","title":"A Multiscale Environment for Learning by Diffusion","created":"2021-01-31","cited_by_count":8,"area":null},{"id":"2101.11431","title":"SkillNER: Mining and Mapping Soft Skills from any Text","created":"2021-01-22","cited_by_count":6,"area":null},{"id":"2505.11139","title":"Covariance Density Neural Networks","created":"2025-05-16","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":"2206.07760","title":"Multiscale methods for signal selection in single-cell data","created":"2022-06-15","cited_by_count":2,"area":null},{"id":"2305.04281","title":"Analysing Multiscale Clusterings with Persistent Homology","created":"2023-05-07","cited_by_count":2,"area":null},{"id":"2109.04526","title":"Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings","created":"2021-09-09","cited_by_count":1,"area":null},{"id":"2309.15648","title":"SANGEA: Scalable and Attributed Network Generation","created":"2023-09-27","cited_by_count":1,"area":null},{"id":"2510.14710","title":"MCbiF: Measuring Topological Autocorrelation in Multiscale Clusterings via 2-Parameter Persistent Homology","created":"2025-10-16","cited_by_count":1,"area":null},{"id":"2101.08623","title":"Synwalk -- Community Detection via Random Walk Modelling","created":"2021-01-21","cited_by_count":0,"area":null},{"id":"2203.09281","title":"Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics","created":"2022-03-17","cited_by_count":0,"area":null},{"id":"2203.15514","title":"Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias","created":"2022-03-24","cited_by_count":0,"area":null},{"id":"2309.07878","title":"Using network metrics to explore the community structure that underlies movement patterns","created":"2023-09-14","cited_by_count":0,"area":null},{"id":"2406.17135","title":"Testing network clustering algorithms with Natural Language Processing","created":"2024-06-24","cited_by_count":0,"area":null},{"id":"2410.05188","title":"Matrix-weighted networks for modeling multidimensional dynamics","created":"2024-10-07","cited_by_count":0,"area":null},{"id":"2504.11621","title":"Robust Markov stability for community detection at a scale learned based on the structure","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2510.23975","title":"Machine learning approaches for interpretable antibody property prediction using structural data","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2603.08965","title":"Semantic Level of Detail for Knowledge Graphs: Discovering Abstraction Boundaries via Spectral Heat Diffusion","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2604.26632","title":"Inferring bifurcation diagrams of two distinct chaotic systems by a single machine","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2605.21514","title":"Conditional Entropy of Heat Diffusion on Temporal Networks","created":"2026-05-15","cited_by_count":0,"area":null}],"next_cursor":null}