{"total":19,"rows":[{"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":"2506.05971","title":"On Measuring Long-Range Interactions in Graph Neural Networks","created":"2025-06-06","cited_by_count":11,"area":null},{"id":"2511.20406","title":"Short-Range Oversquashing","created":"2025-11-25","cited_by_count":3,"area":null},{"id":"2505.18088","title":"Early-Exit Graph Neural Networks","created":"2025-05-23","cited_by_count":2,"area":null},{"id":"2507.23604","title":"Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning","created":"2025-07-31","cited_by_count":2,"area":null},{"id":"2601.07419","title":"Position: Don't be Afraid of Over-Smoothing And Over-Squashing","created":"2026-01-12","cited_by_count":2,"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":"2602.21092","title":"Probing Graph Neural Network Activation Patterns Through Graph Topology","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2603.08825","title":"Local Message-Passing for Discrete Graph Generation","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2603.22984","title":"Can Graph Foundation Models Generalize Over Architecture?","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2605.00951","title":"Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2605.23467","title":"S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2605.28659","title":"Applications of temporal graph learning for predicting the dynamics of biological systems","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2606.21333","title":"Ramanujan Graph Rewiring with Non Negative Resistance Curvature","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2607.27479","title":"Schreier-Coset Graph Rewiring","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2608.16494","title":"Graph Machine Learning: An Opportunity for Power Systems","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.33674","title":"Reachability is not enough: Diagnosing long-range behavior in GNNs","created":"2026-09-27","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}],"next_cursor":null}