{"total":18,"rows":[{"id":"2402.08871","title":"Position: Topological Deep Learning is the New Frontier for Relational Learning","created":"2024-02-14","cited_by_count":66,"area":null},{"id":"2410.02392","title":"MANTRA: The Manifold Triangulations Assemblage","created":"2024-10-03","cited_by_count":12,"area":null},{"id":"2410.02622","title":"Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms","created":"2024-10-03","cited_by_count":6,"area":null},{"id":"2410.17760","title":"Topology meets Machine Learning: An Introduction using the Euler Characteristic Transform","created":"2024-10-23","cited_by_count":4,"area":null},{"id":"2605.02836","title":"A Closed-Form Persistence-Landmark Pipeline for Certified Point-Cloud and Graph Classification","created":"2026-05-04","cited_by_count":4,"area":null},{"id":"2511.08846","title":"On topological descriptors for graph products","created":"2025-11-12","cited_by_count":3,"area":null},{"id":"2410.18987","title":"Point Cloud Synthesis Using Inner Product Transforms","created":"2024-10-09","cited_by_count":2,"area":null},{"id":"2510.00757","title":"LEAP: Local ECT-Based Learnable Positional Encodings for Graphs","created":"2025-10-01","cited_by_count":2,"area":null},{"id":"2505.04412","title":"Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization","created":"2025-05-07","cited_by_count":1,"area":null},{"id":"2507.03474","title":"Molecular Machine Learning Using Euler Characteristic Transforms","created":"2025-07-04","cited_by_count":1,"area":null},{"id":"2510.20271","title":"Scalable GPU-Accelerated Euler Characteristic Curves: Optimization and Differentiable Learning for PyTorch","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2609.08561","title":"Certified Topological Interaction in Neural Representations: Exact Tests and the Statistic They Require","created":"2026-09-08","cited_by_count":1,"area":null},{"id":"2509.06694","title":"Barycentric Neural Networks and Length-Weighted Persistent Entropy Loss: A Green Geometric and Topological Framework for Function Approximation","created":"2025-09-08","cited_by_count":0,"area":null},{"id":"2511.03909","title":"Tensor Computation of Euler Characteristic Functions and Transforms","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2605.03163","title":"Global and Local Topology-Aware Attention with Persistent Homology and Euler Biases for Time-Series Forecasting","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2605.06061","title":"Geometry-Aware Simplicial Message Passing","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2606.10824","title":"Encoding the Euler Characteristic Transform","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2606.23517","title":"Collapsed Effective Operators for Higher-order Structures","created":"2026-06-22","cited_by_count":0,"area":null}],"next_cursor":null}