{"total":59,"rows":[{"id":"2111.14522","title":"Understanding over-squashing and bottlenecks on graphs via curvature","created":"2021-11-29","cited_by_count":478,"area":null},{"id":"2309.09384","title":"Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature","created":"2023-09-17","cited_by_count":41,"area":null},{"id":"2202.13852","title":"Hyperbolic Graph Neural Networks: A Review of Methods and Applications","created":"2022-02-28","cited_by_count":40,"area":null},{"id":"2106.15762","title":"Curvature Graph Neural Network","created":"2021-06-30","cited_by_count":24,"area":null},{"id":"2202.01185","title":"Heterogeneous manifolds for curvature-aware graph embedding","created":"2022-02-02","cited_by_count":23,"area":null},{"id":"2401.12780","title":"DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing","created":"2024-01-23","cited_by_count":16,"area":null},{"id":"2305.03555","title":"Contrastive Graph Clustering in Curvature Spaces","created":"2023-05-05","cited_by_count":15,"area":null},{"id":"2307.10155","title":"Curvature-based Clustering on Graphs","created":"2023-07-19","cited_by_count":14,"area":null},{"id":"2304.04970","title":"GRIL: A $2$-parameter Persistence Based Vectorization for Machine Learning","created":"2023-04-11","cited_by_count":13,"area":null},{"id":"2307.09768","title":"How Curvature Enhance the Adaptation Power of Framelet GCNs","created":"2023-07-19","cited_by_count":13,"area":null},{"id":"2311.14864","title":"Effective Structural Encodings via Local Curvature Profiles","created":"2023-11-24","cited_by_count":13,"area":null},{"id":"2104.14060","title":"WGCN: Graph Convolutional Networks with Weighted Structural Features","created":"2021-04-29","cited_by_count":12,"area":null},{"id":"2210.04124","title":"Generalized energy and gradient flow via graph framelets","created":"2022-10-08","cited_by_count":10,"area":null},{"id":"2407.04236","title":"Graph Pooling via Ricci Flow","created":"2024-07-05","cited_by_count":10,"area":null},{"id":"2307.02378","title":"Continuum Limits of Ollivier's Ricci Curvature on data clouds: pointwise consistency and global lower bounds","created":"2023-07-05","cited_by_count":6,"area":null},{"id":"2502.00401","title":"Spectro-Riemannian Graph Neural Networks","created":"2025-02-01","cited_by_count":6,"area":null},{"id":"2504.04052","title":"PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks","created":"2025-04-05","cited_by_count":6,"area":null},{"id":"2404.14265","title":"Deep Learning as Ricci Flow","created":"2024-04-22","cited_by_count":4,"area":null},{"id":"2303.02561","title":"CAMEL: Curvature-Augmented Manifold Embedding and Learning","created":"2023-03-05","cited_by_count":3,"area":null},{"id":"2401.01243","title":"Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces","created":"2024-01-02","cited_by_count":3,"area":null},{"id":"2403.06645","title":"Ricci flow-based brain surface covariance descriptors for diagnosing Alzheimer's disease","created":"2024-03-11","cited_by_count":3,"area":null},{"id":"2403.14813","title":"Curvature Augmented Manifold Embedding and Learning","created":"2024-03-21","cited_by_count":3,"area":null},{"id":"2603.15696","title":"Tackling Over-smoothing on Hypergraphs: A Ricci Flow-guided Neural Diffusion Approach","created":"2026-03-16","cited_by_count":3,"area":null},{"id":"2410.19607","title":"Analyzing Neural Network Robustness Using Graph Curvature","created":"2024-10-25","cited_by_count":2,"area":null},{"id":"2508.09334","title":"RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs","created":"2025-08-12","cited_by_count":2,"area":null},{"id":"2509.03703","title":"EmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings","created":"2025-09-03","cited_by_count":2,"area":null},{"id":"2511.01443","title":"Efficient Curvature-aware Graph Network","created":"2025-11-03","cited_by_count":2,"area":null},{"id":"2104.04787","title":"Smart Vectorizations for Single and Multiparameter Persistence","created":"2021-04-10","cited_by_count":1,"area":null},{"id":"2412.15695","title":"Hypergraph clustering using Ricci curvature: an edge transport perspective","created":"2024-12-20","cited_by_count":1,"area":null},{"id":"2501.00919","title":"Geometry matters: insights from Ollivier Ricci Curvature and Ricci Flow into representational alignment through Ollivier-Ricci Curvature and Ricci Flow","created":"2025-01-01","cited_by_count":1,"area":null},{"id":"2505.10877","title":"Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations","created":"2025-05-16","cited_by_count":1,"area":null},{"id":"2508.02600","title":"Adaptive Riemannian Graph Neural Networks","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2509.22362","title":"Neural Feature Geometry Evolves as Discrete Ricci Flow","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2510.04936","title":"Discrete scalar curvature as a weighted sum of Ollivier-Ricci curvatures","created":"2025-10-06","cited_by_count":1,"area":null},{"id":"2510.20556","title":"Structural Invariance Matters: Rethinking Graph Rewiring through Graph Metrics","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2601.08149","title":"Dynamic Graph Structure Learning via Resistance Curvature Flow","created":"2026-01-13","cited_by_count":1,"area":null},{"id":"2605.01107","title":"Diffusion Operator Geometry of Feedforward Representations","created":"2026-05-01","cited_by_count":1,"area":null},{"id":"2609.14962","title":"Geometric Flow enhanced Graph Coarsening","created":"2026-09-14","cited_by_count":1,"area":null},{"id":"2204.13006","title":"Ollivier-Ricci Curvature For Head Pose Estimation From a Single Image","created":"2022-04-27","cited_by_count":0,"area":null},{"id":"2306.13699","title":"Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction","created":"2023-06-23","cited_by_count":0,"area":null},{"id":"2309.01657","title":"Locally Stationary Graph Processes","created":"2023-09-04","cited_by_count":0,"area":null},{"id":"2407.21609","title":"Ironing the Graphs: Toward a Correct Geometric Analysis of Large-Scale Graphs","created":"2024-07-31","cited_by_count":0,"area":null},{"id":"2506.01164","title":"Transport Network, Graph, and Air Pollution","created":"2025-06-01","cited_by_count":0,"area":null},{"id":"2506.15620","title":"GFLC: Graph-based Fairness-aware Label Correction for Fair Classification","created":"2025-06-18","cited_by_count":0,"area":null},{"id":"2509.07648","title":"Graph-based Integrated Gradients for Explaining Graph Neural Networks","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2510.22599","title":"A roadmap for curvature-based geometric data analysis and learning","created":"2025-10-26","cited_by_count":0,"area":null},{"id":"2601.16366","title":"Post-Training Neural Network Pruning using Graph Curvature","created":"2026-01-22","cited_by_count":0,"area":null},{"id":"2601.16552","title":"Understanding and Improving UMAP with Geometric and Topological Priors: The JORC-UMAP Algorithm","created":"2026-01-23","cited_by_count":0,"area":null},{"id":"2603.12652","title":"Sobolev--Ricci Curvature","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2603.26178","title":"Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2604.13890","title":"Sandpile Economics: Theory, Identification, and Evidence","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2604.18816","title":"Curvature-Aware PCA with Geodesic Tangent Space Aggregation for Semi-Supervised Learning","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2607.16553","title":"Discrete Ricci Curvature on Protein Contact Graphs for Lightweight Fold Classification","created":"2026-07-17","cited_by_count":0,"area":null},{"id":"2607.22381","title":"Local-Global Geometric Insights for Graph Neural Networks via Entropic Curvature","created":"2026-07-24","cited_by_count":0,"area":null},{"id":"2608.16923","title":"Network Denoising Revisited: A Ricci-Flow-Inspired Graph Diffusion Method","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.22453","title":"Geometric Structures on Graphs: a Holonomy-Based Discretization of Curvature","created":"2026-08-23","cited_by_count":0,"area":null},{"id":"2609.17061","title":"Repurposing Unified Topological Signatures for Graph Representation Learning","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.22862","title":"CurvFlow-DTA: dual-graph discrete Ricci curvature flow for drug--target affinity prediction","created":"2026-09-19","cited_by_count":0,"area":null},{"id":"2609.34571","title":"PersonaManifold: Revealing and Exploiting Curved Geometry in LLM Persona Representations","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}