% Key papers for Continuous-time dynamic graph learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_disentangling_15417,
  title = {{Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2020_memory_102083,
  title = {{Memory Augmented Graph Neural Networks for Sequential Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5945},
}

@inproceedings{iclr2019_dyrep_28968,
  title = {{DyRep: Learning Representations over Dynamic Graphs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/800},
}

@inproceedings{aaai2021_transfer_1553,
  title = {{Transfer Graph Neural Networks for Pandemic Forecasting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04838-transfer-graph-neural-networks-for-pandemic-forecasting/},
}

@inproceedings{aaai2022_ddgcn_1912,
  title = {{DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04611-ddgcn-dual-dynamic-graph-convolutional-networks-for-rumor-detection-on-social-media/},
}

@inproceedings{aaai2016_unfolding_104727,
  title = {{Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/9970},
}

@inproceedings{aaai2024_temporal_7516,
  title = {{Temporal Graph Contrastive Learning for Sequential Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28789},
}

@inproceedings{aaai2022_context_1873,
  title = {{Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04567-context-aware-health-event-prediction-via-transition-functions-on-dynamic-disease-graphs/},
}

@inproceedings{cvpr2023_uncovering_22448,
  title = {{Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23165},
}

@inproceedings{neurips2022_towards_63739,
  title = {{Towards Better Evaluation for Dynamic Link Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55630},
}

@inproceedings{aaai2020_towards_102074,
  title = {{Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5936},
}

@inproceedings{iclr2024_deep_34576,
  title = {{Deep Temporal Graph Clustering}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18498},
}

@inproceedings{aaai2024_tau_7469,
  title = {{TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30265},
}

@inproceedings{neurips2016_reconstructing_55954,
  title = {{Reconstructing Parameters of Spreading Models from Partial Observations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6930},
}

@inproceedings{neurips2023_temporal_69556,
  title = {{Temporal Graph Benchmark for Machine Learning on Temporal Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73456},
}

@inproceedings{aaai2020_mining_99757,
  title = {{Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5358},
}

@inproceedings{aaai2023_where_4969,
  title = {{Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25855},
}

@inproceedings{aaai2024_echo_5778,
  title = {{ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29305},
}

@inproceedings{aaai2022_disentangled_1987,
  title = {{Disentangled Spatiotemporal Graph Generative Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/06541-disentangled-spatiotemporal-graph-generative-models/},
}

@inproceedings{aaai2024_hge_6178,
  title = {{HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28739},
}

@inproceedings{aaai2025_a_7892,
  title = {{A Generalizable Anomaly Detection Method in Dynamic Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35508},
}

@inproceedings{aaai2025_dynamic_8848,
  title = {{Dynamic Multi-Interest 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/33343},
}

@inproceedings{aaai2025_dynamic_8846,
  title = {{Dynamic Graph Learning with Static Relations for Credit Risk Assessment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33433},
}

@inproceedings{aaai2025_graph_9367,
  title = {{Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32081},
}

@inproceedings{neurips2024_tgb_71178,
  title = {{TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97796},
}

@inproceedings{neurips2024_improving_72330,
  title = {{Improving Temporal Link Prediction via Temporal Walk Matrix Projection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95017},
}

@inproceedings{neurips2024_dtgb_70209,
  title = {{DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97873},
}

@inproceedings{aaai2024_successive_7438,
  title = {{Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27813},
}

@inproceedings{aaai2025_fastpert_9153,
  title = {{FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34291},
}

@inproceedings{aaai2025_kits_9634,
  title = {{KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33412},
}

@inproceedings{aaai2025_thgnets_10907,
  title = {{THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33331},
}

@inproceedings{cvpr2025_spatial_27715,
  title = {{Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33065},
}

@inproceedings{neurips2024_supra_74357,
  title = {{Supra-Laplacian Encoding for Transformer on Dynamic Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93204},
}

@inproceedings{neurips2024_probabilistic_74422,
  title = {{Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93149},
}

@inproceedings{aaai2025_spatial_10804,
  title = {{Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33271},
}