| Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models | Jan 1, 2024 | AttributeDimensionality Reduction | CodeCode Available | 0 |
| Community Detection in High-Dimensional Graph Ensembles | Dec 6, 2023 | Community DetectionStochastic Block Model | —Unverified | 0 |
| Auto-encoding GPS data to reveal individual and collective behaviour | Dec 1, 2023 | ManagementStochastic Block Model | —Unverified | 0 |
| Optimal Clustering of Discrete Mixtures: Binomial, Poisson, Block Models, and Multi-layer Networks | Nov 27, 2023 | ClusteringCommunity Detection | —Unverified | 0 |
| Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model | Oct 30, 2023 | AttributeClustering | —Unverified | 0 |
| Reinforcement Learning for SBM Graphon Games with Re-Sampling | Oct 25, 2023 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Restricted Tweedie Stochastic Block Models | Oct 17, 2023 | Community DetectionStochastic Block Model | —Unverified | 0 |
| Global Minima, Recoverability Thresholds, and Higher-Order Structure in GNNS | Oct 11, 2023 | Graph Neural NetworkStochastic Block Model | —Unverified | 0 |
| Non-backtracking Graph Neural Networks | Oct 11, 2023 | Graph Neural NetworkNode Classification | CodeCode Available | 0 |
| An Investigation of Representation and Allocation Harms in Contrastive Learning | Oct 2, 2023 | Contrastive LearningSelf-Supervised Learning | CodeCode Available | 0 |
