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

@inproceedings{aaai2019_explainable_101755,
  title = {{Explainable Reasoning over Knowledge Graphs for Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4470},
}

@inproceedings{aaai2021_learning_906,
  title = {{Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04732-learning-from-history-modeling-temporal-knowledge-graphs-with-sequential-copy-generation-networks/},
}

@inproceedings{aaai2022_tlogic_2806,
  title = {{TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04120-tlogic-temporal-logical-rules-for-explainable-link-forecasting-on-temporal-knowledge-graphs/},
}

@inproceedings{aaai2023_temporal_4785,
  title = {{Temporal Knowledge Graph Reasoning with Historical Contrastive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25601},
}

@inproceedings{aaai2021_kan_826,
  title = {{KAN: Knowledge-aware Attention Network for Fake News Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00081-kan-knowledge-aware-attention-network-for-fake-news-detection/},
}

@inproceedings{aaai2021_chronor_244,
  title = {{ChronoR: Rotation Based Temporal Knowledge Graph Embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06471-chronor-rotation-based-temporal-knowledge-graph-embedding/},
}

@inproceedings{aaai2022_jaket_2273,
  title = {{JAKET: Joint Pre-training of Knowledge Graph and Language Understanding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/11630-jaket-joint-pre-training-of-knowledge-graph-and-language-understanding/},
}

@inproceedings{aaai2020_casie_103091,
  title = {{CASIE: Extracting Cybersecurity Event Information from Text}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6401},
}

@inproceedings{aaai2019_colnet_99672,
  title = {{ColNet: Embedding the Semantics of Web Tables for Column Type Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3765},
}

@inproceedings{icml2017_know_36239,
  title = {{Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/882},
}

@inproceedings{aaai2018_does_105826,
  title = {{Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11924},
}

@inproceedings{aaai2021_dynamic_479,
  title = {{Dynamic Knowledge Graph Alignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04564-dynamic-knowledge-graph-alignment/},
}

@inproceedings{aaai2023_skier_4578,
  title = {{SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26541},
}

@inproceedings{iclr2021_explainable_30638,
  title = {{Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3378},
}

@inproceedings{aaai2022_tempoqr_2815,
  title = {{TempoQR: Temporal Question Reasoning over Knowledge Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/05825-tempoqr-temporal-question-reasoning-over-knowledge-graphs/},
}

@inproceedings{aaai2017_radon_99769,
  title = {{Radon – Rapid Discovery of Topological Relations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10478},
}

@inproceedings{aaai2017_marrying_99786,
  title = {{Marrying Uncertainty and Time in Knowledge Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10495},
}

@inproceedings{aaai2017_efficiently_105807,
  title = {{Efficiently Answering Technical Questions — A Knowledge Graph Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10956},
}

@inproceedings{aaai2023_grlstm_3756,
  title = {{GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25624},
}

@inproceedings{aaai2021_graph_688,
  title = {{Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/13362-graph-evolving-meta-learning-for-low-resource-medical-dialogue-generation/},
}

@inproceedings{aaai2024_mkg_6584,
  title = {{MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28887},
}

@inproceedings{aaai2024_teilp_7476,
  title = {{TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29544},
}

@inproceedings{aaai2024_knowledge_6381,
  title = {{Knowledge Graph Error Detection with Contrastive Confidence Adaption}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28729},
}

@inproceedings{aaai2024_question_7046,
  title = {{Question Calibration and Multi-Hop Modeling for Temporal Question Answering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29903},
}

@inproceedings{aaai2024_beyond_5282,
  title = {{Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29828},
}

@inproceedings{iclr2024_graphcare_35461,
  title = {{GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17612},
}

@inproceedings{aaai2025_cogntke_8447,
  title = {{CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33624},
}

@inproceedings{neurips2025_kggen_77909,
  title = {{KGGen: Extracting Knowledge Graphs from Plain Text with Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=YyhRJXxbpi},
}

@inproceedings{neurips2025_gfm_74716,
  title = {{GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=0QNmAvQQqj},
}

@inproceedings{neurips2024_decrl_72430,
  title = {{DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94926},
}

@inproceedings{aaai2024_knowledge_6386,
  title = {{Knowledge-Aware Neuron Interpretation for Scene Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27965},
}

@inproceedings{neurips2024_construction_71327,
  title = {{Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95920},
}

@inproceedings{aaai2026_graphrag_106172,
  title = {{GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38479},
}

@inproceedings{neurips2024_text2nkg_72427,
  title = {{Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94929},
}

@inproceedings{neurips2024_pagerank_72461,
  title = {{PageRank Bandits for Link Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94897},
}

@inproceedings{aaai2025_dpcl_8620,
  title = {{DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33623},
}

@inproceedings{aaai2024_interpreting_6347,
  title = {{Interpreting Temporal Knowledge Graph Reasoning (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30425},
}

@inproceedings{aaai2024_well_7805,
  title = {{Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30502},
}

@inproceedings{aaai2025_infer_9562,
  title = {{Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32630},
}

@inproceedings{aaai2024_knowledge_6389,
  title = {{Knowledge-Powered Recommendation for an Improved Diet Water Footprint}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30571},
}