% Key papers for Temporal graph neural architectures (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_structural_11891,
  title = {{Structural-RNN: Deep Learning on Spatio-Temporal Graphs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{aaai2018_dynamic_99809,
  title = {{Dynamic Network Embedding by Modeling Triadic Closure Process}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11257},
}

@inproceedings{aaai2021_multi_1021,
  title = {{Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/01113-multi-scale-spatial-temporal-graph-convolutional-network-for-skeleton-based-action-recognition/},
}

@inproceedings{cvpr2022_aegnn_18233,
  title = {{AEGNN: Asynchronous Event-Based Graph Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2019_variational_59180,
  title = {{Variational Graph Recurrent Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14075},
}

@inproceedings{neurips2021_learning_62431,
  title = {{Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28351},
}

@inproceedings{aaai2023_scalable_4615,
  title = {{Scalable Spatiotemporal Graph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25880},
}

@inproceedings{aaai2021_hyperbolic_737,
  title = {{Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04375-hyperbolic-variational-graph-neural-network-for-modeling-dynamic-graphs/},
}

@inproceedings{neurips2022_neural_64778,
  title = {{Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53235},
}

@inproceedings{aaai2024_mdgnn_6569,
  title = {{MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29381},
}

@inproceedings{aaai2023_dynamic_3516,
  title = {{Dynamic Heterogeneous Graph Attention Neural Architecture Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26338},
}

@inproceedings{aaai2023_scaling_4621,
  title = {{Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26034},
}

@inproceedings{neurips2019_recurrent_58888,
  title = {{Recurrent Space-time Graph Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14232},
}

@inproceedings{iclr2020_inductive_29778,
  title = {{Inductive representation learning on temporal graphs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rJeW1yHYwH},
}

@inproceedings{iclr2023_do_32829,
  title = {{Do We Really Need Complicated Model Architectures For Temporal Networks?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11024},
}

@inproceedings{aaai2020_temporal_102131,
  title = {{Temporal Network Embedding with High-Order Nonlinear Information}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5993},
}

@inproceedings{aaai2019_sliding_103237,
  title = {{Sliding Window Temporal Graph Coloring}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4761},
}

@inproceedings{neurips2021_adaptive_61761,
  title = {{Adaptive Data Augmentation on Temporal Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28672},
}

@inproceedings{aaai2025_ls_9689,
  title = {{LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33354},
}

@inproceedings{aaai2024_dynamic_5767,
  title = {{Dynamic Reactive Spiking Graph Neural Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29640},
}

@inproceedings{aaai2025_dg_8605,
  title = {{DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34382},
}

@inproceedings{neurips2024_using_70621,
  title = {{Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96499},
}

@inproceedings{aaai2024_spacegtn_7373,
  title = {{SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27994},
}

@inproceedings{aaai2025_st_10639,
  title = {{ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33310},
}

@inproceedings{aaai2025_designing_8703,
  title = {{Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33251},
}

@inproceedings{neurips2025_strap_77836,
  title = {{STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Y5wMoIbdDs},
}

@inproceedings{aaai2025_temporal_10947,
  title = {{Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34273},
}

@inproceedings{neurips2025_unifying_75579,
  title = {{Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=9env0BdcDV},
}

@inproceedings{icml2025_tmetanet_46375,
  title = {{TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46188},
}

@inproceedings{icml2025_cody_46672,
  title = {{CoDy: Counterfactual Explainers for Dynamic Graphs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45900},
}

@inproceedings{neurips2025_simple_76092,
  title = {{Simple and Efficient Heterogeneous Temporal Graph Neural Network}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=FOkbHmaW0I},
}

@inproceedings{iclr2025_tgb_81012,
  title = {{TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30756},
}

@inproceedings{aaai2026_trimming_107002,
  title = {{Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39354},
}

@inproceedings{iclr2024_pres_34938,
  title = {{PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18136},
}

@inproceedings{icml2026_st_52121,
  title = {{ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=StQUBg3hlS},
}

@inproceedings{icml2026_towards_54758,
  title = {{Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=sKAgLgpujy},
}

@inproceedings{neurips2024_temporal_70257,
  title = {{Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96832},
}