% Key papers for Inductive knowledge graph completion (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2020_diachronic_101954, title = {{Diachronic Embedding for Temporal Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5815}, } @inproceedings{aaai2018_open_101451, title = {{Open-World Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11535}, } @inproceedings{aaai2020_few_101411, title = {{Few-Shot Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5698}, } @inproceedings{aaai2020_relational_103198, title = {{Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6508}, } @inproceedings{aaai2018_neural_105829, title = {{Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11927}, } @inproceedings{aaai2020_commonsense_101397, title = {{Commonsense Knowledge Base Completion with Structural and Semantic Context}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5684}, } @inproceedings{aaai2022_temporal_2817, title = {{Temporal Knowledge Graph Completion Using Box Embeddings}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/07779-temporal-knowledge-graph-completion-using-box-embeddings/}, } @inproceedings{aaai2021_type_1567, title = {{Type-augmented Relation Prediction in Knowledge Graphs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/07151-type-augmented-relation-prediction-in-knowledge-graphs/}, } @inproceedings{aaai2022_exploring_2071, title = {{Exploring Relational Semantics for Inductive Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/04184-exploring-relational-semantics-for-inductive-knowledge-graph-completion/}, } @inproceedings{neurips2021_indigo_63088, title = {{INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/27527}, } @inproceedings{aaai2024_lafa_6391, title = {{LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28744}, } @inproceedings{neurips2020_duality_59745, title = {{Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/17233}, } @inproceedings{aaai2024_mixed_6652, title = {{Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28745}, } @inproceedings{aaai2020_path_101393, title = {{Path Ranking with Attention to Type Hierarchies}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5680}, } @inproceedings{aaai2025_apkgc_7982, title = {{APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33645}, } @inproceedings{iclr2023_expressive_33389, title = {{ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/11174}, } @inproceedings{icml2023_ingram_42195, title = {{InGram: Inductive Knowledge Graph Embedding via Relation Graphs}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2023}, url = {https://icml.cc/virtual/2023/poster/23883}, } @inproceedings{aaai2022_er_2010, title = {{ER: Equivariance Regularizer for Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/05512-er-equivariance-regularizer-for-knowledge-graph-completion/}, } @inproceedings{aaai2024_anchoring_5190, title = {{Anchoring Path for Inductive Relation Prediction in Knowledge Graphs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28750}, } @inproceedings{iclr2023_hierarchical_33442, title = {{Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/12192}, } @inproceedings{aaai2025_knowledge_9649, title = {{Knowledge Graph Completion with Relation-Aware Anchor Enhancement}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33672}, } @inproceedings{aaai2024_modeling_6665, title = {{Modeling Knowledge Graphs with Composite Reasoning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28675}, } @inproceedings{aaai2025_replacing_10515, title = {{Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33632}, } @inproceedings{aaai2025_s_10889, title = {{S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33346}, } @inproceedings{aaai2026_information_106294, title = {{Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38601}, } @inproceedings{aaai2026_discovering_106691, title = {{Discovering Latent Facts from Context to Construct Richer Open Knowledge Graphs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38998}, } @inproceedings{aaai2025_kgcrr_9633, title = {{KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33410}, } @inproceedings{aaai2025_spac_10625, title = {{SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33671}, } @inproceedings{aaai2026_arns_106177, title = {{ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38484}, } @inproceedings{icml2025_stability_47073, title = {{Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45513}, } @inproceedings{neurips2024_knowledge_73060, title = {{Knowledge Graph Completion by Intermediate Variables Regularization}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94366}, } @inproceedings{aaai2025_towards_11046, title = {{Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33260}, } @inproceedings{icml2024_knowledge_43696, title = {{Knowledge Graphs Can be Learned with Just Intersection Features}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34756}, } @inproceedings{iclr2025_towards_82433, title = {{Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29360}, }