Papers citing 'Manifold structure in graph embeddings'

Title
SALMAN: Stability Analysis of Language Models Through the Maps Between Graph-based Manifolds Wuxinlin Cheng Yun Feng Jinwen Wu K. P. Subbalakshmi Tian Han Zhuo Feng AAML 64 0 0 23 Aug 2025
Self-Reinforced Graph Contrastive Learning Chou-Ying Hsieh Chun-Fu Jang Cheng-En Hsieh Qian-Hui Chen Sy-Yen Kuo 178 0 0 19 May 2025
Signal Recovery from Random Dot-Product Graphs Under Local Differential PrivacyInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Siddharth Vishwanath Jonathan Hehir 329 0 0 24 Apr 2025
Hardness of Learning Neural Networks under the Manifold Hypothesis B. Kiani Jason Wang Melanie Weber 183 11 0 03 Jun 2024
Frameless Graph Knowledge DistillationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Dai Shi Zhiqi Shao Yi Guo Junbin Gao 143 4 0 13 Jul 2023
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic NetworksNeural Information Processing Systems (NeurIPS), 2023 Alexander Modell Ian Gallagher Emma Ceccherini N. Whiteley Patrick Rubin-Delanchy 227 5 0 09 Jun 2023
Implications of sparsity and high triangle density for graph representation learningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Hannah Sansford Alexander Modell N. Whiteley Patrick Rubin-Delanchy 177 1 0 27 Oct 2022
Graph-theoretical approach to robust 3D normal extraction of LiDAR dataISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), 2022 Arpan Kusari W. Sun 3DPC 87 2 0 23 May 2022
Spectral embedding and the latent geometry of multipartite networks Alexander Modell Ian Gallagher Joshua Cape Patrick Rubin-Delanchy 194 1 0 08 Feb 2022
Latent structure blockmodels for Bayesian spectral graph clustering Francesco Sanna Passino N. Heard 178 3 0 04 Jul 2021
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian ApproachInternational Conference on Machine Learning (ICML), 2021 F. López Beatrice Pozzetti Steve J. Trettel Michael Strube Anna Wienhard 111 25 0 09 Jun 2021
Spectral embedding for dynamic networks with stability guaranteesNeural Information Processing Systems (NeurIPS), 2021 Ian Gallagher Andrew Jones Patrick Rubin-Delanchy 197 27 0 02 Jun 2021
Matrix factorisation and the interpretation of geodesic distanceNeural Information Processing Systems (NeurIPS), 2021 N. Whiteley Annie Gray Patrick Rubin-Delanchy 233 10 0 02 Jun 2021
Hermitian Symmetric Spaces for Graph Embeddings F. López Beatrice Pozzetti Steve J. Trettel Anna Wienhard 95 0 0 11 May 2021
Latent space models for multiplex networks with shared structure Peter Macdonald Elizaveta Levina Ji Zhu 136 37 0 28 Dec 2020
Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues Joshua Agterberg M. Tang Carey Priebe 134 15 0 17 Dec 2020
A statistical interpretation of spectral embedding: the generalised random dot product graph Patrick Rubin-Delanchy Joshua Cape M. Tang Carey E. Priebe 339 146 0 16 Sep 2017