% Key papers for Logical query answering and rule reasoning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{iclr2018_go_28643, title = {{Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://iclr.cc/virtual/2018/poster/50}, } @inproceedings{aaai2018_knowledge_105820, title = {{Knowledge Graph Embedding With Iterative Guidance From Soft Rules}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11918}, } @inproceedings{aaai2020_graph_103054, title = {{Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6364}, } @inproceedings{neurips2018_symbolic_57670, title = {{Symbolic Graph Reasoning Meets Convolutions}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11198}, } @inproceedings{aaai2021_communicative_272, title = {{Communicative Message Passing for Inductive Relation Reasoning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/04294-communicative-message-passing-for-inductive-relation-reasoning/}, } @inproceedings{neurips2019_probabilistic_58839, title = {{Probabilistic Logic Neural Networks for Reasoning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13851}, } @inproceedings{neurips2020_beta_59453, title = {{Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18271}, } @inproceedings{aaai2022_fuzzy_2139, title = {{Fuzzy Logic Based Logical Query Answering on Knowledge Graphs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/03939-fuzzy-logic-based-logical-query-answering-on-knowledge-graphs/}, } @inproceedings{neurips2019_drum_58082, title = {{DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/14431}, } @inproceedings{aaai2016_column_104750, title = {{Column-Oriented Datalog Materialization for Large Knowledge Graphs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/9993}, } @inproceedings{aaai2019_atp_99701, title = {{ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/3794}, } @inproceedings{aaai2020_reasoning_102326, title = {{Reasoning on Knowledge Graphs with Debate Dynamics}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6600}, } @inproceedings{neurips2021_cone_62319, title = {{ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/28326}, } @inproceedings{iclr2021_complex_30226, title = {{Complex Query Answering with Neural Link Predictors}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/3140}, } @inproceedings{aaai2024_mines_6583, title = {{MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28935}, } @inproceedings{iclr2020_differentiable_29796, title = {{Differentiable learning of numerical rules in knowledge graphs}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=rJleKgrKwS}, } @inproceedings{aaai2019_approximate_101327, title = {{Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4127}, } @inproceedings{icml2022_neural_40888, title = {{Neural-Symbolic Models for Logical Queries on Knowledge Graphs}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2022}, url = {https://icml.cc/virtual/2022/poster/16233}, } @inproceedings{iclr2023_neural_32285, title = {{Neural Compositional Rule Learning for Knowledge Graph Reasoning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/10932}, } @inproceedings{aaai2019_querying_101322, title = {{Querying Attributed DL-Lite Ontologies Using Provenance Semirings}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4122}, } @inproceedings{aaai2024_neste_6757, title = {{NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28772}, } @inproceedings{neurips2024_a_72458, title = {{A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94900}, } @inproceedings{iclr2024_towards_35054, title = {{Towards Foundation Models for Knowledge Graph Reasoning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18020}, } @inproceedings{neurips2024_a_71554, title = {{A Foundation Model for Zero-shot Logical Query Reasoning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95712}, } @inproceedings{neurips2025_towards_79929, title = {{Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=uKSr3KgEqV}, } @inproceedings{aaai2025_rule_10583, title = {{Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33394}, } @inproceedings{icml2024_knowformer_43888, title = {{KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34564}, } @inproceedings{iclr2024_less_34394, title = {{Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18681}, } @inproceedings{neurips2025_duetgraph_79593, title = {{DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=r029oluPS7}, } @inproceedings{aaai2026_numcoke_106346, title = {{NumCoKE: Ordinal-Aware Numerical Reasoning over Knowledge Graphs with Mixture-of-Experts and Contrastive Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38653}, } @inproceedings{aaai2024_neuro_6771, title = {{Neuro-Symbolic Integration for Reasoning and Learning on Knowledge Graphs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30415}, } @inproceedings{aaai2025_an_8099, title = {{An And-Sum Circuit with Signed Edges That Is More Succinct than SDD}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33656}, } @inproceedings{aaai2025_representation_10518, title = {{Representation Learning Based Predicate Invention on Knowledge Graphs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33468}, } @inproceedings{icml2025_how_48471, title = {{How Expressive are Knowledge Graph Foundation Models?}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/44147}, } @inproceedings{icml2026_beyond_49735, title = {{Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=5F0ddHN3TP}, } @inproceedings{icml2026_rsf_53763, title = {{RSF-GLLM: Bridging the Semantic Gap in Multi-Hop Knowledge Graph QA via Recurrent Soft-Flow and Decoupled LLM Generation}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=iSNHlYLxsw}, } @inproceedings{icml2026_conformal_54633, title = {{Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=qxdeq2sKGW}, } @inproceedings{iclr2026_query_88474, title = {{Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=n28wnc2QTc}, } @inproceedings{neurips2026_ngdb_90957, title = {{NGDB-Zoo: Towards Efficient and Scalable Neural Graph Databases Training}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/154653}, }