% Key papers for Graph-based dialog systems (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2017_coupled_105852,
  title = {{Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10974},
}

@inproceedings{cvpr2019_neighbourhood_14561,
  title = {{Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{iclr2019_structured_28865,
  title = {{Structured Neural Summarization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/998},
}

@inproceedings{aaai2020_schema_102940,
  title = {{Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6250},
}

@inproceedings{cvpr2019_reasoning_14709,
  title = {{Reasoning Visual Dialogs With Structural and Partial Observations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_hierarchical_15645,
  title = {{Hierarchical Human Parsing With Typed Part-Relation Reasoning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2022_knowledge_2286,
  title = {{Knowledge Bridging for Empathetic Dialogue Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/10993-knowledge-bridging-for-empathetic-dialogue-generation/},
}

@inproceedings{aaai2021_document_458,
  title = {{Document-Level Relation Extraction with Reconstruction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/14167-document-level-relation-extraction-with-reconstruction/},
}

@inproceedings{cvpr2019_factor_14188,
  title = {{Factor Graph Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2021_one_1104,
  title = {{One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12564-one-spring-to-rule-them-both-symmetric-amr-semantic-parsing-and-generation-without-a-complex-pipeline/},
}

@inproceedings{aaai2021_encoder_517,
  title = {{Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12794-encoder-decoder-based-unified-semantic-role-labeling-with-label-aware-syntax/},
}

@inproceedings{cvpr2023_multivariate_21632,
  title = {{Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/20948},
}

@inproceedings{aaai2021_gdpnet_643,
  title = {{GDPNet: Refining Latent Multi-View Graph for Relation Extraction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/14194-gdpnet-refining-latent-multi-view-graph-for-relation-extraction/},
}

@inproceedings{aaai2021_gate_642,
  title = {{GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12462-gate-graph-attention-transformer-encoder-for-cross-lingual-relation-and-event-extraction/},
}

@inproceedings{aaai2021_code_260,
  title = {{Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/14015-code-completion-by-modeling-flattened-abstract-syntax-trees-as-graphs/},
}

@inproceedings{neurips2024_g_71765,
  title = {{G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95524},
}

@inproceedings{aaai2023_joint_3940,
  title = {{Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26309},
}

@inproceedings{icml2020_few_38215,
  title = {{Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6686},
}

@inproceedings{aaai2021_infusing_788,
  title = {{Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/13343-infusing-multi-source-knowledge-with-heterogeneous-graph-neural-network-for-emotional-conversation-generation/},
}

@inproceedings{aaai2018_a_105908,
  title = {{A Neural Transition-Based Approach for Semantic Dependency Graph Parsing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11968},
}

@inproceedings{aaai2024_an_5172,
  title = {{An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29919},
}

@inproceedings{aaai2024_g_6099,
  title = {{G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28766},
}

@inproceedings{aaai2025_revisiting_10555,
  title = {{Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33242},
}

@inproceedings{cvpr2025_unigoal_27996,
  title = {{UniGoal: Towards Universal Zero-shot Goal-oriented Navigation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34649},
}

@inproceedings{aaai2024_harnessing_6191,
  title = {{Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29807},
}

@inproceedings{iclr2024_talk_34121,
  title = {{Talk like a Graph: Encoding Graphs for Large Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18954},
}

@inproceedings{aaai2024_heterogeneous_6199,
  title = {{Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27760},
}

@inproceedings{aaai2024_a_5031,
  title = {{A Goal Interaction Graph Planning Framework for Conversational Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29930},
}

@inproceedings{aaai2024_a_5037,
  title = {{A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29853},
}

@inproceedings{aaai2024_span_7374,
  title = {{Span Graph Transformer for Document-Level Named Entity Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29841},
}

@inproceedings{aaai2024_dialogues_5686,
  title = {{Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29819},
}

@inproceedings{cvpr2025_phgc_27184,
  title = {{PHGC: Procedural Heterogeneous Graph Completion for Natural Language Task Verification in Egocentric Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32833},
}

@inproceedings{aaai2024_dependency_5668,
  title = {{Dependency Structure-Enhanced Graph Attention Networks for Event Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29877},
}

@inproceedings{aaai2024_coreference_5512,
  title = {{Coreference Graph Guidance for Mind-Map Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29935},
}

@inproceedings{icml2025_griffin_47443,
  title = {{Griffin: Towards a Graph-Centric Relational Database Foundation Model}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45150},
}

@inproceedings{neurips2025_rag4gfm_79869,
  title = {{RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=tirl2l9oKg},
}

@inproceedings{aaai2026_rose_108022,
  title = {{RoSE: A Role Correlation Structure-Enhanced Model for Multi-Event Argument Extraction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40374},
}

@inproceedings{aaai2025_logic_9813,
  title = {{Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34589},
}

@inproceedings{aaai2025_unaligned_11134,
  title = {{Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33290},
}