Key papers

• AUDITFLOW: Executable Symbolic Environments for Structured Financial Reporting Verification (2026)
  Yan Wang et al.
  1.89
• In-Context Graphical Inference (2026)
  Zehua Cheng et al.
  1.89
• Equivariant Neural Belief Propagation (2026)
  Zehua Cheng et al.
  1.89
• The Scaling Properties of Implicit Deductive Reasoning in Transformers (2026)
  Enrico Vompa et al.
  1.83
• Library learning with e-graphs on jazz harmony (2026)
  Zeng Ren et al.
  1.83
• Coalgebraic analysis of social systems (2026)
  Nima Motamed et al.
  1.67
• Post-Training Neural Network Pruning using Graph Curvature (2026)
  Shuhang Tan et al.
  1.61
• EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph (2025)
  Nan Jiang et al.
  1.50
• Ontolearn-A Framework for Large-scale OWL Class Expression Learning in Python (2025)
  Caglar Demir et al.
  1.44
• VITA: Versatile Time Representation Learning for Temporal Hyper-Relational Knowledge Graphs (2025)
  ChongIn Un et al.
  1.17
• Symbolic Foundation Regressor on Complex Networks (2025)
  Weiting Liu and Jiaxu Cui and Jiao Hu and En Wang and Bo Yang
  1.17
• Learning Isometric Embeddings of Road Networks using Multidimensional Scaling (2025)
  Juan Carlos Climent Pardo
  1.11
• Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions (2025)
  Aidan Hogan et al.
  0.94
• E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions (2025)
  Hongbo Zheng et al.
  0.94
• Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning" (2020)
  Saeed Amizadeh et al.
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• Graphical Conditions for Rate Independence in Chemical Reaction Networks (2020)
  Elisabeth Degrand (Lifeware) et al.
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• Exploiting Knowledge Graphs for Facilitating Product/Service Discovery (2020)
  Sarika Jain
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• Investigating ADR mechanisms with knowledge graph mining and explainable AI (2020)
  Emmanuel Bresso et al.
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• ChronoR: Rotation Based Temporal Knowledge Graph Embedding (2021)
  Ali Sadeghian et al.
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• EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case (2021)
  Natalia D\'iaz-Rodr\'iguez et al.
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• LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking (2021)
  Hang Jiang et al.
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• Semantic Reasoning with Differentiable Graph Transformations (2021)
  Alberto Cetoli
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• Learning Theorem Proving Components (2021)
  Karel Chvalovsk\'y et al.
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• Combining Sub-Symbolic and Symbolic Methods for Explainability (2021)
  Anna Himmelhuber et al.
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• AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension (2022)
  Xiao Li et al.
  —
• OntoMerger: An Ontology Integration Library for Deduplicating and Connecting Knowledge Graph Nodes (2022)
  David Geleta et al.
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• FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source (2022)
  Aman Kumar et al.
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• Context-driven Visual Object Recognition based on Knowledge Graphs (2022)
  Sebastian Monka et al.
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• Knowledge Enhanced Graph Neural Networks for Graph Completion (2023)
  Luisa Werner (TYREX et al.
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• Emergence of Symbols in Neural Networks for Semantic Understanding and Communication (2023)
  Yang Chen et al.
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• Score: A Rule Engine for the Scone Knowledge Base System (2023)
  Jeffrey Chen et al.
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• Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs (2023)
  Zijie Huang et al.
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• What can knowledge graph alignment gain with Neuro-Symbolic learning approaches? (2023)
  Pedro Giesteira Cotovio et al.
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• Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings (2023)
  Diego Rincon-Yanez et al.
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• Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI (2023)
  Song Yaoxian et al.
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• Identifying Causal Effects Under Functional Dependencies (2024)
  Yizuo Chen and Adnan Darwiche
  —
• Simulating Petri nets with Boolean Matrix Logic Programming (2024)
  Lun Ai et al.
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• Automated Loss function Search for Class-imbalanced Node Classification (2024)
  Xinyu Guo et al.
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• A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI (2024)
  Alice Bizzarri et al.
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• ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model (2024)
  Xuanqing Yu et al.
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• Neural Symbolic Regression of Complex Network Dynamics (2024)
  Haiquan Qiu et al.
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• Guiding Genetic Programming with Graph Neural Networks (2024)
  Piotr Wyrwi\'nski et al.
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• Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression (2024)
  Jiao Hu et al.
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• Answer Set Networks: Casting Answer Set Programming into Deep Learning (2024)
  Arseny Skryagin et al.
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• APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs (2024)
  Zihao Li et al.
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