{"total":28,"rows":[{"id":"2502.10818","title":"On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning","created":"2025-02-15","cited_by_count":43,"area":null},{"id":"2505.15547","title":"Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning","created":"2025-05-21","cited_by_count":19,"area":null},{"id":"2506.07624","title":"Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks","created":"2025-06-09","cited_by_count":12,"area":null},{"id":"2505.18728","title":"Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling","created":"2025-05-24","cited_by_count":10,"area":null},{"id":"2512.17762","title":"Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation","created":"2025-12-19","cited_by_count":10,"area":null},{"id":"2510.17457","title":"Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models","created":"2025-10-20","cited_by_count":7,"area":null},{"id":"2506.15507","title":"Over-squashing in Spatiotemporal Graph Neural Networks","created":"2025-06-18","cited_by_count":6,"area":null},{"id":"2511.08185","title":"Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics","created":"2025-11-11","cited_by_count":6,"area":null},{"id":"2601.09394","title":"FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks","created":"2026-01-14","cited_by_count":4,"area":null},{"id":"2410.13469","title":"Interpreting Temporal Graph Neural Networks with Koopman Theory","created":"2024-10-17","cited_by_count":2,"area":null},{"id":"2505.18088","title":"Early-Exit Graph Neural Networks","created":"2025-05-23","cited_by_count":2,"area":null},{"id":"2602.10956","title":"Stochastic Parroting in Temporal Attention -- Regulating the Diagonal Sink","created":"2026-02-11","cited_by_count":2,"area":null},{"id":"2508.05070","title":"TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows","created":"2025-08-07","cited_by_count":1,"area":null},{"id":"2508.12787","title":"Wavy Transformer","created":"2025-08-18","cited_by_count":1,"area":null},{"id":"2510.08450","title":"gLSTM: Mitigating Over-Squashing by Increasing Storage Capacity","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2605.12358","title":"From Message-Passing to Linearized Graph Sequence Models","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2410.10464","title":"Information propagation dynamics in Deep Graph Networks","created":"2024-10-14","cited_by_count":0,"area":null},{"id":"2508.14097","title":"Non-Dissipative Graph Propagation for Non-Local Community Detection","created":"2025-08-15","cited_by_count":0,"area":null},{"id":"2509.06777","title":"Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks","created":"2025-09-08","cited_by_count":0,"area":null},{"id":"2510.17378","title":"Model Metamers Reveal Invariances in Graph Neural Networks","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2511.06443","title":"How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation","created":"2025-11-09","cited_by_count":0,"area":null},{"id":"2602.18141","title":"Geometry-Induced Diffusion on Graphs: A Learnable Weighted Laplacian for Spectral GNNs","created":"2026-02-20","cited_by_count":0,"area":null},{"id":"2605.13383","title":"Beyond Oversquashing: Understanding Signal Propagation in GNNs Via Observables","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.18387","title":"Graph Hierarchical Recurrence for Long-Range Generalization","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2608.31067","title":"Universal Transformers for Circuit Computations: Perfect Length Generalization in Tiny Transformers","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.32940","title":"TwinS-GCN: Spectral conjugate for Spectral Graph Convolutional Networks","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2610.03556","title":"Get a GRIP, this will be a long TRIP: A Quantifiable Long-Range Framework for Verifying Over-squashing","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.04157","title":"Mitigating Over-squashing without Rewiring: A Sheaf Effective Resistance Perspective","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}