mlsanityData to 14 Oct 2026

Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base

arXiv 2002.06115 ↗First posted 14 Feb 2020cs.CL cs.LG stat.MLcited by 32

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Abstract (arXiv)

We describe a novel way of representing a symbolic knowledge base (KB) called a sparse-matrix reified KB. This representation enables neural modules that are fully differentiable, faithful to the original semantics of the KB, expressive enough to model multi-hop inferences, and scalable enough to use with realistically large KBs. The sparse-matrix reified KB can be distributed across multiple GPUs, can scale to tens of millions of entities and facts, and is orders of magnitude faster than naive sparse-matrix implementations. The reified KB enables very simple end-to-end architectures to obtain competitive performance on several benchmarks representing two families of tasks: KB completion, and learning semantic parsers from denotations.

Key facts. Cited by 32 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Feb 2020.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 14; 2022: 10; 2023: 3; 2024: 3; 2025: 0; 2026: 2.

32 papers.

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  1. 2023Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answeringcited by 119
  2. 2021Question Answering Over Temporal Knowledge Graphscited by 99
  3. 2021Knowledge Graph Reasoning with Relational Digraphcited by 92
  4. 2021RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answeringcited by 86
  5. 2022Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answeringcited by 72
  6. 2021TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graphcited by 60
  7. 2021Neuro-Symbolic Artificial Intelligence: Current Trendscited by 54
  8. 2021Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use casescited by 39
  9. 2022Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computingcited by 35
  10. 2022Knowledge Base Question Answering by Case-based Reasoning over Subgraphscited by 31
  11. 2021Discriminative Reasoning for Document-level Relation Extractioncited by 25
  12. 2022Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarizationcited by 20
20 more
  1. 2021Reasoning Over Virtual Knowledge Bases With Open Predicate Relationscited by 18
  2. 2021Logic Embeddings for Complex Query Answeringcited by 17
  3. 2021UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Textcited by 17
  4. 2022ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphscited by 16
  5. 2021Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersectioncited by 12
  6. 2021End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphscited by 11
  7. 2021SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoningcited by 10
  8. 2022Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systemscited by 10
  9. 2024Neuro-Symbolic AI: Explainability, Challenges, and Future Trendscited by 10
  10. 2021A Critical Review of Inductive Logic Programming Techniques for Explainable AIcited by 7
  11. 2022Improving Entity Disambiguation by Reasoning over a Knowledge Basecited by 7
  12. 2023NuTrea: Neural Tree Search for Context-guided Multi-hop KGQAcited by 7
  13. 2024SPARKLE: Enhancing SPARQL Generation with Direct KG Integration in Decodingcited by 5
  14. 2022Reasoning over Logically Interacted Conditions for Question Answeringcited by 3
  15. 2022Knowledge-enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answeringcited by 1
  16. 2023Relation-Aware Question Answering for Heterogeneous Knowledge Graphscited by 1
  17. 2026Theseus in the Graph: Towards Traceable Multi-Hop Graph Navigationcited by 1
  18. 2022Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022cited by 0
  19. 2024Bridging the Gap: Representation Spaces in Neuro-Symbolic AIcited by 0
  20. 2026LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrievalcited by 0