Latest Knowledge Graphs Research Papers

The newest Knowledge Graphs papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks Knowledge Graphs so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.

Recent papers

• FIRME: Registry-Anchored Memory Graphs for Evolving, Heterogeneous Investor Knowledge
  Yunbai Zhang, Yunyi Gao, Han-Tai Shiao · arXiv · Oct 29, 2026

  Financial AI workflows that reuse investor knowledge need persistent memory that integrates observations across sources and periods without losing identity or provenance. In a knowledge graph, recurring observations may use different surfac…

• A Knowledge Graph and Contrastive Learning-based Framework for Cross-Domain Book–Movie Recommendations with Explainability
  Sharmila Rani Jetti, M. H. M. Krishna Prasad · International Journal of Co... · Oct 29, 2026

  An emerging approach called cross-domain recommendation transfers knowledge across heterogeneous areas, including books and movies, to improve the user experience. Existing methods often suffer from sparse interactions, semantic gaps across…

• Timestral
  Adrien Petralia, Alexandre Gavaudan, Artjom Joosen, Etienne Goffinet et al. · arXiv · Oct 27, 2026

  We introduce Timestral, a family of four time series foundation models for probabilistic forecasting, with 5M, 28M, 123M, and 209M parameters. Timestral sets a new state of the art on GIFT-Eval, TIME, and fev-bench, where Timestral-209M and…

• Clearing the FoG: Training KG Agents to Retrieve the Evidence Behind Their Answers
  Zongyuan Sun, Shuai Zhao, Yingjun Du, Ke Shu et al. · arXiv · Oct 27, 2026

  Large language models (LLMs) can answer many factual questions correctly, but a correct answer is not necessarily a supported one. For an LLM agent, a knowledge graph (KG) plays two roles: as a source of answers, it supplies facts that the …

• Evolve on Graph: Self-Evolving Knowledge Graph Reasoning without Question Annotations
  Zongyuan Sun, Shuai Zhao, Ke Shu, Ziyue Zhu et al. · arXiv · Oct 26, 2026

  Knowledge graphs (KGs) provide reliable external knowledge for multi-hop factual reasoning with large language models (LLMs), yet most KGs in real-world domains such as finance and industry lack question--answer (QA) annotations. Without su…

• Every Edge Needs a Quote: Building a Quote-Grounded Knowledge Graph of Healthcare Software Adoption with Language-Model Agents
  Juan Felipe Duran, Arthur Tobler, Martin Vallières · arXiv · Oct 23, 2026

  Hospitals regularly buy software that clinicians and patients depend on. Because these purchases are costly, hard to reverse and can affect patient care, buyers look for evidence of which peer institutions already use a product and which sy…

• Ontology-Guided Knowledge Graph Construction from Structured Metadata and Climate Science Publications
  Aayush Acharya, Qi Zhang, Eduard Dragut, Longin Jan Latecki · arXiv · Oct 23, 2026

  The rapid expansion of scientific literature far outpaces the speed of manual curation, creating a fundamental bottleneck in extracting structured knowledge from scientific texts. To address this, we introduce an agentic, ontology-guided fr…

• Intelligent on-site photograph interpretation by coupling deep learning and a clue knowledge graph for land administration
  Sichen Lu, Da He, Zhenhao Chen, Yusen Xie et al. · Land Use Policy · Oct 23, 2026
• Intelligent Academic Search and Research Gap Discovery: A Review of Citation Networks, Knowledge Graphs and Semantic Retrieval
  Shivani Dhabadge, Prathamesh Maske, Mahendra Lingampalli, Suraj Gandhakte · International Scientific Jo... · Oct 22, 2026

  Prepared as a literature-based review related to the development of an Academic Research Intelligence System (ARIS). Scholarly output is growing exponentially. A scientist today cannot easily find, follow and predict what is relevant. I wil…

• CulturalRiddles: A Multicultural Benchmark of Riddles
  My Chiffon Nguyen, Tianyi Hu, Vinod Anbalagan, Henry Gagnier et al. · arXiv · Oct 21, 2026

  As LLMs expand their language coverage, evaluating how well they understand and represent diverse cultures becomes increasingly important. However, many benchmarks remain English-centric, with limited cultural coverage and a focus on factua…

• Graph Topology Meets Energy-Driven Pathfinding: Preserving Contextual Consistency in Retrieval-Augmented Generation
  Yufeng Li, Zaijing Li, Fuchen Zhang, Zongzong Wu et al. · arXiv · Oct 21, 2026

  Retrieval-augmented generation (RAG) frequently integrates knowledge graphs (KGs) for complex multi-hop question answering. However, their performance is increasingly bottlenecked by the knowledge structuring and reasoning processes. (i) Se…

• Management and Marketing Frameworks in Geoheritage Research: A Structural Bibliometric Analysis
  Ľubomír Štrba, Maksym Mykhei, Kristína Pramuková, Marcela Taušová · Geoheritage · Oct 20, 2026

  Abstract Research on geoheritage has experienced rapid expansion in recent years. However, the integration of management and marketing perspectives remains conceptually inconsistent. This study employs bibliometric and science-mapping metho…

• Kronecker Delta Rule for Long Context Linear Attention
  Anamaria-Roberta Hartl, Levente Zólyomi, Michael List, Günter Klambauer et al. · arXiv · Oct 19, 2026

  We propose KronLSTM, a linear attention architecture based on the Kronecker Delta Rule, a novel update rule for associative matrix memories. KronLSTM extends the xLSTM family with a memory-revision mechanism that corrects targeted associati…

• A Semantic Knowledge Graph Construction Pipeline for Vehicle Intention Prediction in nuScenes
  Khaled Nowara, Mohamed Manzour, Catherine Elias · arXiv · Oct 19, 2026

  Knowledge graphs (KGs) are increasingly used in autonomous driving (AD) to make traffic scene entities and relations explicit for prediction and reasoning. Existing traffic-scene KGs, however, primarily emphasize trajectory forecasting or g…

• Librarian Agents: Training LLMs to Curate Long-Context Workspaces that Anticipate Future Queries
  Anikait Singh, Teresa Zhang, Yoonho Lee, Roshen Sanjay Nair et al. · arXiv · Oct 15, 2026

  Reasoning over long document contexts remains a challenge for large language models (LLMs). Standard retrieval methods are inherently reactive, bottlenecking agents with complex, cross-document reasoning at inference time, while precomputed…

• Beyond LLM Judge: Mechanical Verification for Agentic Autoformalization
  Anna Mei, Michael R. Douglas · arXiv · Oct 14, 2026

  We introduce a novel method for verifying Lean formalizations that goes beyond LLM-judged faithfulness. Unlike most verification methods, which rely on LLMs or trained models, our method combines LLM-based semantic review with mechanical nu…

• Construction of personal health knowledge graphs for clinical data harmonization in breast cancer
  Wenjie Liang, Rutger van Mierlo, Anne-Lore BYNENS, Remzi Çelebi et al. · npj Breast Cancer · Oct 12, 2026
• Decoupling Exploration from Optimization in RLVR
  Saif Punjwani, Micah Goldblum · arXiv · Oct 7, 2026

  Modern language models undergo reinforcement learning with verifiable rewards (RLVR) on top of already-trained checkpoints. A key promise of RLVR is the discovery of new reasoning strategies. In principle, a model can sample novel ideas abs…

• An ontology-guided LightRAG framework for knowledge-graph construction and question answering on precarious rock hazards
  Ke Li, Yanwu Pan, Zongwang Yi, Shengbao Guo et al. · Earth Science Informatics · Oct 7, 2026
• IdeaLens: Detecting AI Ideas in Long-form Writing
  Rishanth Rajendhran, Minjoon Choi, Jenna Russell, Ramya Namuduri et al. · arXiv · Oct 5, 2026

  While modern AI detectors identify who wrote the words, emerging policies on AI use increasingly hinge on a different question: who came up with the ideas? We introduce IdeaLens, a detector that identifies whether a document's ideas came fr…

• Proof-Grounded Patient-Specific Clinical Explanations from Knowledge-Graph Reasoning
  Surajit Das · arXiv · Oct 5, 2026

  Clinical decision-support outputs can lack an au- ditable link between patient observations, encoded knowledge, conclusions, and recommendations. We present the CKG Clinical Explanation Engine, a downstream layer for a frozen, training-free…

• Complete experimental record for Measuring Logical Inconsistency of Large Language Models over OWL Ontologies
  Laure Berti‐Équille · Zenodo (CERN European Organ... · Oct 5, 2026

  Complete derived results and analysis artifacts for “Measuring Logical Inconsistency of Large Language Models over OWL Ontologies” (Knowledge-Based Systems, Elsevier; manuscript KNOSYS-D-26-12908, under review). The pipeline and the 24,762 …

• KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards
  Pengfei Li, Naufal Suryanto, Sicheng Zhang, Muzammal Naseer · arXiv · Oct 1, 2026

  LLMs are increasingly applied to cybersecurity workflows, where they are expected to translate analysts' intent into tool invocations. However, existing evaluations focus on knowledge-based assessments or end-to-end agentic tasks, and do no…

• Bibliometric Analysis and Co-word Mapping: The Field of Knowledge Graphs
  Ameneh Shenavar, Saeed Rezaei Sharifabadi, Molouksadat Hosseini Beheshti, Akram Fathian Dastgerdi · DOAJ (DOAJ: Directory of Op... · Oct 1, 2026

  Purpose: The rapid expansion of research in the field of Knowledge Graphs (KGs) over the past decade has positioned The field as a dynamic area at the intersection of computer science, artificial intelligence. Following Google’s introductio…

• From Code Archival to Knowledge Graph: Bridging Software Heritage, COAR Notify and Wikidata
  Camillo Carlo Pellizzari di San Girolamo, Francesco Tosoni · arXiv · Sep 18, 2026

  Software is a first-class scientific object, yet validated links between source code and the scholarly record remain largely absent from the Linked Open Data (LOD) cloud, isolating archived artefacts from semantic discovery. This paper pres…

• Hyperbolic Graph Representation Learning for Differential Diagnosis on Biomedical Knowledge Graphs
  Pietro Miotto, Lucia Mellini, Tommaso Marzi, Cesare Alippi et al. · arXiv · Sep 16, 2026

  Biomedical knowledge graphs combine ontology-derived hierarchies with transversal associations among heterogeneous entities such as phenotypes, diseases, genes, proteins, and patients. This hybrid structure raises the question of whether hy…

• Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government
  Danny EBanks, Devika Jain · arXiv · Sep 10, 2026

  Harvard Dataverse hosts over 150,000 research datasets, but the geographic information those datasets carry is entered as free text by depositors and has never been assembled into a searchable structure. We construct a knowledge graph from …

• Myofascial chain sequencing and performance adaptations in youth football players: an exploratory knowledge graph-supported analysis
  İnci Kesilmiş, Aybike Şimşek, Aleyna Işık, Mehmet Şimşek · BMC Sports Science Medicine... · Sep 8, 2026

  Abstract Background This study investigated the effects of myofascial chain-focused training on countermovement jump (CMJ) performance and dynamic balance in a small, specific cohort of youth football players, while also examining how perfo…

• Meticulously Unsupervised Entity Alignment With Large Language Models
  Zhihuan Yan, Yi Wang, Chongchong Zhang, Hengyang Wu et al. · Expert Systems · Sep 7, 2026

  ABSTRACT Knowledge graph entity alignment refers to the process of identifying and linking entities that refer to the same real‐world object from different knowledge graphs. Structural heterogeneity and scarcity of training data have always…

• METRIN-KG: Integrating plant MEtabolomes, functional TRaits, and biotic INteractions into a Knowledge Graph
  Disha Tandon · Zenodo (CERN European Organ... · Sep 4, 2026

  Presentation slides for nfdi4LS-IB2026 (2nd-4th September)....