| A Compressed Sensing Based Least Squares Approach to Semi-supervised Local Cluster Extraction | Feb 7, 2022 | Clusteringcompressed sensing | CodeCode Available | 0 | 5 |
| An Investigation of Representation and Allocation Harms in Contrastive Learning | Oct 2, 2023 | Contrastive LearningSelf-Supervised Learning | CodeCode Available | 0 | 5 |
| A Semidefinite Relaxation Approach for Fair Graph Clustering | Oct 19, 2024 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian | Jun 3, 2020 | Community DetectionStochastic Block Model | CodeCode Available | 0 | 5 |
| Assortative-Constrained Stochastic Block Models | Apr 21, 2020 | Community DetectionStochastic Block Model | CodeCode Available | 0 | 5 |
| Almost Surely Asymptotically Constant Graph Neural Networks | Mar 6, 2024 | Stochastic Block Model | CodeCode Available | 0 | 5 |
| Guarantees for Spectral Clustering with Fairness Constraints | Jan 24, 2019 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Community Detection in the Stochastic Block Model by Mixed Integer Programming | Jan 26, 2021 | Community DetectionStochastic Block Model | CodeCode Available | 0 | 5 |
| Community Detection with Graph Neural Networks | Oct 25, 2018 | Community DetectionGraph Classification | CodeCode Available | 0 | 5 |
| DiSC: Differential Spectral Clustering of Features | Nov 10, 2022 | ClusteringStochastic Block Model | CodeCode Available | 0 | 5 |
