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

@inproceedings{aaai2020_k_101394,
  title = {{K-BERT: Enabling Language Representation with Knowledge Graph}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5681},
}

@inproceedings{aaai2019_atomic_101359,
  title = {{ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4160},
}

@inproceedings{aaai2018_variational_106015,
  title = {{Variational Reasoning for Question Answering With Knowledge Graph}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12057},
}

@inproceedings{aaai2021_comet_0,
  title = {{(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06384-comet-atomic-2020-on-symbolic-and-neural-commonsense-knowledge-graphs/},
}

@inproceedings{cvpr2021_krisp_17225,
  title = {{KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2021_kg_828,
  title = {{KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06418-kg-bart-knowledge-graph-augmented-bart-for-generative-commonsense-reasoning/},
}

@inproceedings{aaai2024_knowledge_6382,
  title = {{Knowledge Graph Prompting for Multi-Document Question Answering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29889},
}

@inproceedings{iclr2020_learning_29629,
  title = {{Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=SJgVHkrYDH},
}

@inproceedings{aaai2020_sparqa_103116,
  title = {{SPARQA: Skeleton-Based Semantic Parsing for Complex Questions over Knowledge Bases}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6426},
}

@inproceedings{aaai2017_unit_105810,
  title = {{Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10959},
}

@inproceedings{iclr2021_rnnlogic_30686,
  title = {{RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3084},
}

@inproceedings{aaai2020_a_102322,
  title = {{A Knowledge-Aware Attentional Reasoning Network for Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6184},
}

@inproceedings{iclr2020_query2box_29299,
  title = {{Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=BJgr4kSFDS},
}

@inproceedings{aaai2020_differentiable_102100,
  title = {{Differentiable Reasoning on Large Knowledge Bases and Natural Language}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5962},
}

@inproceedings{iclr2020_differentiable_29665,
  title = {{Differentiable Reasoning over a Virtual Knowledge Base}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=SJxstlHFPH},
}

@inproceedings{iclr2024_reasoning_34670,
  title = {{Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18404},
}

@inproceedings{neurips2024_plan_71099,
  title = {{Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96115},
}

@inproceedings{aaai2016_a_105227,
  title = {{A Joint Model for Question Answering over Multiple Knowledge Bases}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10381},
}

@inproceedings{aaai2022_stepgame_2781,
  title = {{StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/11321-stepgame-a-new-benchmark-for-robust-multi-hop-spatial-reasoning-in-texts/},
}

@inproceedings{iclr2017_learning_28382,
  title = {{Learning a Natural Language Interface with Neural Programmer}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=ry2YOrcge},
}

@inproceedings{aaai2025_debate_8651,
  title = {{Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34658},
}

@inproceedings{aaai2025_lightprof_9792,
  title = {{LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34510},
}

@inproceedings{iclr2024_chain_34777,
  title = {{Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18297},
}

@inproceedings{aaai2024_code_5413,
  title = {{Code-Style In-Context Learning for Knowledge-Based Question Answering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29848},
}

@inproceedings{neurips2024_large_71098,
  title = {{Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96116},
}

@inproceedings{aaai2025_improving_9524,
  title = {{Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33405},
}

@inproceedings{iclr2024_chain_33605,
  title = {{Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19470},
}

@inproceedings{aaai2024_fact_5947,
  title = {{Fact-Driven Logical Reasoning for Machine Reading Comprehension}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29850},
}

@inproceedings{iclr2025_think_83449,
  title = {{Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28367},
}

@inproceedings{aaai2025_knowledge_9648,
  title = {{Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34655},
}

@inproceedings{icml2025_graph_46704,
  title = {{Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45868},
}

@inproceedings{neurips2024_urbankgent_71904,
  title = {{UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95400},
}

@inproceedings{neurips2024_kg_74080,
  title = {{KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93450},
}

@inproceedings{aaai2025_llm_9675,
  title = {{LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33249},
}

@inproceedings{cvpr2024_sok_24720,
  title = {{SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29403},
}

@inproceedings{cvpr2024_synthesize_24930,
  title = {{Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30055},
}

@inproceedings{neurips2024_stark_72091,
  title = {{STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97698},
}