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

@inproceedings{aaai2018_convolutional_101489,
  title = {{Convolutional 2D Knowledge Graph Embeddings}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11573},
}

@inproceedings{aaai2017_conceptnet_104586,
  title = {{ConceptNet 5.5: An Open Multilingual Graph of General Knowledge}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11164},
}

@inproceedings{aaai2016_holographic_105142,
  title = {{Holographic Embeddings of Knowledge Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10314},
}

@inproceedings{iclr2019_rotate_28939,
  title = {{RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/870},
}

@inproceedings{aaai2016_representation_105175,
  title = {{Representation Learning of Knowledge Graphs with Entity Descriptions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10329},
}

@inproceedings{aaai2019_end_101363,
  title = {{End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4164},
}

@inproceedings{aaai2016_knowledge_104935,
  title = {{Knowledge Graph Completion with Adaptive Sparse Transfer Matrix}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10089},
}

@inproceedings{aaai2020_learning_101414,
  title = {{Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5701},
}

@inproceedings{neurips2018_simple_57624,
  title = {{SimplE Embedding for Link Prediction in Knowledge Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11424},
}

@inproceedings{aaai2017_distant_105804,
  title = {{Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10953},
}

@inproceedings{cvpr2019_rethinking_14735,
  title = {{Rethinking Knowledge Graph Propagation for Zero-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2020_interacte_101407,
  title = {{InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5694},
}

@inproceedings{aaai2020_knowledge_99753,
  title = {{Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5354},
}

@inproceedings{aaai2019_entity_99705,
  title = {{Entity Alignment between Knowledge Graphs Using Attribute Embeddings}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3798},
}

@inproceedings{neurips2019_quaternion_58866,
  title = {{Quaternion Knowledge Graph Embeddings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13462},
}

@inproceedings{aaai2017_proje_101426,
  title = {{ProjE: Embedding Projection for Knowledge Graph Completion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10677},
}

@inproceedings{aaai2018_toruse_101454,
  title = {{TorusE: Knowledge Graph Embedding on a Lie Group}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11538},
}

@inproceedings{aaai2021_dual_470,
  title = {{Dual Quaternion Knowledge Graph Embeddings}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06894-dual-quaternion-knowledge-graph-embeddings/},
}

@inproceedings{aaai2019_relation_101651,
  title = {{Relation Structure-Aware Heterogeneous Information Network Embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4358},
}

@inproceedings{aaai2021_topology_1521,
  title = {{Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06271-topology-aware-correlations-between-relations-for-inductive-link-prediction-in-knowledge-graphs/},
}

@inproceedings{aaai2024_kgts_6372,
  title = {{KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28672},
}

@inproceedings{aaai2024_editing_5794,
  title = {{Editing Language Model-Based Knowledge Graph Embeddings}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29737},
}

@inproceedings{aaai2024_revisiting_7148,
  title = {{Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29792},
}

@inproceedings{aaai2024_kgdm_6371,
  title = {{KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28732},
}

@inproceedings{neurips2025_hypergraphrag_79656,
  title = {{HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=ravS5h8MNg},
}

@inproceedings{neurips2024_clustering_71033,
  title = {{Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96176},
}

@inproceedings{aaai2024_biomedical_5301,
  title = {{Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30535},
}

@inproceedings{aaai2026_dans_107103,
  title = {{DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39455},
}

@inproceedings{aaai2024_select_7282,
  title = {{Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30590},
}

@inproceedings{icml2026_generative_54053,
  title = {{Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=lRZmoqiAPg},
}

@inproceedings{neurips2024_lambda_70953,
  title = {{Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96250},
}

@inproceedings{icml2024_generalizing_44466,
  title = {{Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33986},
}

@inproceedings{icml2024_pac_45541,
  title = {{PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32911},
}

@inproceedings{icml2025_structure_45981,
  title = {{Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46565},
}

@inproceedings{neurips2025_scalable_76989,
  title = {{Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=PJrvX7Jz2c},
}

@inproceedings{iclr2026_flock_84348,
  title = {{Flock: A Knowledge Graph Foundation Model via Learning on Random Walks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=1cGOCIOKQd},
}

@inproceedings{iclr2026_hyper_87149,
  title = {{HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=YLTQbMoAaX},
}

@inproceedings{neurips2026_toward_94655,
  title = {{Toward a Unified Statistical Theory of Unsupervised Pretraining and Supervised Neural Knowledge Graph Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151698},
}

@inproceedings{aaai2026_unihr_106262,
  title = {{UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38569},
}

@inproceedings{aaai2026_flore_106886,
  title = {{FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective Knowledge Graph Embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39238},
}