{"total":21,"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":"2204.09455","title":"Simplicial Attention Networks","created":"2022-04-20","cited_by_count":41,"area":null},{"id":"2209.08179","title":"Cell Attention Networks","created":"2022-09-16","cited_by_count":35,"area":null},{"id":"2309.02138","title":"Generalized Simplicial Attention Neural Networks","created":"2023-09-05","cited_by_count":27,"area":null},{"id":"2406.06642","title":"TopoBench: A Framework for Benchmarking Topological Deep Learning","created":"2024-06-09","cited_by_count":24,"area":null},{"id":"2303.11323","title":"Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back","created":"2023-03-20","cited_by_count":22,"area":null},{"id":"2405.15429","title":"E(n) Equivariant Topological Neural Networks","created":"2024-05-24","cited_by_count":22,"area":null},{"id":"2305.16174","title":"From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module","created":"2023-05-25","cited_by_count":19,"area":null},{"id":"2210.15058","title":"Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back","created":"2022-10-26","cited_by_count":9,"area":null},{"id":"2404.03380","title":"On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers","created":"2024-04-04","cited_by_count":8,"area":null},{"id":"2312.11862","title":"Topo-MLP : A Simplicial Network Without Message Passing","created":"2023-12-19","cited_by_count":7,"area":null},{"id":"2210.05490","title":"Pooling Strategies for Simplicial Convolutional Networks","created":"2022-10-11","cited_by_count":5,"area":null},{"id":"2205.09801","title":"Representation Power of Graph Neural Networks: Improved Expressivity via Algebraic Analysis","created":"2022-05-19","cited_by_count":3,"area":null},{"id":"2405.04098","title":"Binarized Simplicial Convolutional Neural Networks","created":"2024-05-07","cited_by_count":3,"area":null},{"id":"2410.16935","title":"Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance","created":"2024-10-22","cited_by_count":2,"area":null},{"id":"2503.12919","title":"Continuous Simplicial Neural Networks","created":"2025-03-17","cited_by_count":2,"area":null},{"id":"2402.06908","title":"Topological Neural Networks: Mitigating the Bottlenecks of Graph Neural Networks via Higher-Order Interactions","created":"2024-02-10","cited_by_count":0,"area":null},{"id":"2404.03434","title":"Learning From Simplicial Data Based on Random Walks and 1D Convolutions","created":"2024-04-04","cited_by_count":0,"area":null},{"id":"2502.10070","title":"Topological Neural Networks over the Air","created":"2025-02-14","cited_by_count":0,"area":null},{"id":"2505.17939","title":"Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2605.10091","title":"TopoU-Net: a U-Net architecture for topological domains","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}