{"total":25,"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":"2408.04713","title":"DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models","created":"2024-08-08","cited_by_count":14,"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":"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":"2502.19651","title":"Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs","created":"2025-02-27","cited_by_count":3,"area":null},{"id":"2506.12588","title":"Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction","created":"2025-06-14","cited_by_count":2,"area":null},{"id":"2510.06940","title":"Revisiting Node Affinity Prediction in Temporal Graphs","created":"2025-10-08","cited_by_count":2,"area":null},{"id":"2412.03783","title":"Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review","created":"2024-12-05","cited_by_count":1,"area":null},{"id":"2507.11836","title":"HyperEvent: A Strong Baseline for Dynamic Link Prediction via Relative Structural Encoding","created":"2025-07-16","cited_by_count":1,"area":null},{"id":"2509.00975","title":"Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning","created":"2025-08-31","cited_by_count":1,"area":null},{"id":"2510.11903","title":"Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks","created":"2025-10-13","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":"2503.04509","title":"STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models","created":"2025-03-06","cited_by_count":0,"area":null},{"id":"2504.07337","title":"FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks","created":"2025-04-09","cited_by_count":0,"area":null},{"id":"2504.11386","title":"Trajectory Encoding Temporal Graph Networks","created":"2025-04-15","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":"2508.14859","title":"Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning","created":"2025-08-20","cited_by_count":0,"area":null},{"id":"2602.00596","title":"Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks","created":"2026-01-31","cited_by_count":0,"area":null},{"id":"2603.03963","title":"TFWaveFormer: Temporal-Frequency Collaborative Multi-level Wavelet Transformer for Dynamic Link Prediction","created":"2026-03-04","cited_by_count":0,"area":null},{"id":"2604.24811","title":"Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2606.04672","title":"Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.10071","title":"Temporal Sheaf Neural Networks with Dynamic Orthogonal Transport","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2610.01765","title":"Physics-Refined Spatiotemporal Forecasting on Open-Boundary Hydrologic Graphs","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.02990","title":"Differentiable Koopman Operator for Contrastive Learning on Dynamic Graphs","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}