| Spectral clustering under degree heterogeneity: a case for the random walk Laplacian A Modell, P Rubin-Delanchy arXiv preprint arXiv:2105.00987, 2021 | 11 | 2021 |
| A graph embedding approach to user behavior anomaly detection A Modell, J Larson, M Turcotte, A Bertiger 2021 IEEE International Conference on Big Data (Big Data), 2650-2655, 2021 | 8 | 2021 |
| Spectral embedding and the latent geometry of multipartite networks A Modell, I Gallagher, J Cape, P Rubin-Delanchy arXiv preprint arXiv:2202.03945, 2022 | 2 | 2022 |
| Intensity Profile Projection: A framework for continuous-time representation learning for dynamic networks A Modell, I Gallagher, E Ceccherini, N Whiteley, P Rubin-Delanchy Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Hierarchical clustering with dot products recovers hidden tree structure A Gray, A Modell, P Rubin-Delanchy, N Whiteley Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Implications of sparsity and high triangle density for graph representation learning H Sansford, A Modell, N Whiteley, P Rubin-Delanchy International Conference on Artificial Intelligence and Statistics, 5449-5473, 2023 | 1 | 2023 |
| Entrywise error bounds for low-rank approximations of kernel matrices A Modell arXiv preprint arXiv:2405.14494, 2024 | | 2024 |
| Network access anomaly detection via graph embedding AS Bertiger, AD Modell, JK Larson US Patent 11,949,701, 2024 | | 2024 |
| Spectral embedding of large graphs and dynamic networks AD Modell University of Bristol, 2024 | | 2024 |
Patrick Rubin-DelanchyUniversity of BristolVerified email at bristol.ac.uk
