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.
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- Knowledge Graph Re-engineering Along the Ontological ContinuumEnrico Daga, Valentina Tamma, Terry R. Payne · Open Research Online (The O... · Sep 29, 2026
Knowledge graphs have become the primary vehicle for data integration and are critical to modern AI. Yet, the diversity of KG modelling practices, from lightweight vocabularies to richly axiomatised ontologies, makes integration and reuse e…
- Geospatial AI, Dataverse Metadata, and the Study of Place-Based GovernmentDanny 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 analysisİnci 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 ModelsZhihuan 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 GraphDisha Tandon · Zenodo (CERN European Organ... · Sep 4, 2026
Presentation slides for nfdi4LS-IB2026 (2nd-4th September)....
- METRIN-KG: Integrating plant MEtabolomes, functional TRaits, and biotic INteractions into a Knowledge GraphDisha Tandon · Zenodo (CERN European Organ... · Sep 4, 2026
Presentation slides for nfdi4LS-IB2026 (2nd-4th September)....
- Spatial-semantic hierarchical knowledge graph modeling for body-in-white datum designHongsheng Fu, Yanlong Cao, Junding Luo, Zongzheng Zhang et al. · Huddersfield Research Porta... · Sep 1, 2026
A spatial–semantic hierarchical knowledge graph (SSH-KG) modeling method was proposed in order to address the problem of dispersed design knowledge and difficulty in fusing with geometric models in body-in-white datum design, which leads to…
- OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment TechniquesHamed Babaei Giglou, Sören Auer, Peio Popov, Mahsa Sanaei et al. · arXiv · Aug 31, 2026
Ontology alignment (OA) has evolved through several methodological paradigms, ranging from lexical and structural aligners to knowledge graph embedding (KGE) models and, more recently, Large Language Model (LLM)-based approaches. Although m…
- CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge BasesSil Hamilton, Albert Yu Sun, Oscar J. Romero, Carl-Leander Henneking et al. · arXiv · Aug 27, 2026
LLMs are increasingly able to answer complex questions about enterprise-scale document collections. But evaluation is hard: companies don't want to share internal communications, and synthetic datasets have been overly simple. We present Co…
- Integrating global crop models with knowledge graphs: Evolution, comparison, and future directionsXuewen Gong, Wei Zeng, Yanbin Li, Tianli Ren et al. · Agricultural Water Management · Aug 27, 2026
- Multi-Granularity Context-Enhanced RAG over Multimodal Knowledge GraphsZongyu Wu, Yilong Wang, Xiaochen Wang, Minhua Lin et al. · arXiv · Aug 26, 2026
Retrieval-augmented generation (RAG) is widely used to mitigate hallucination issues in large language models (LLMs) and multimodal large language models (MLLMs). In particular, knowledge graph (KG)-based RAG leverages structured knowledge …
- FedV-KGQA: Multi-Hop Question Answering over Vertically Partitioned Knowledge GraphsMd Saikat Islam Khan Bappy, Oshani Seneviratne · arXiv · Aug 25, 2026
Real-world data for knowledge graph question answering is often distributed across different organizations due to governance and data sovereignty constraints. While centralized systems exist, they cannot answer multi-hop questions when the …
- Constrained Entity Selection under Partial Knowledge for LLM-Based Knowledge Graph QAEmanuel Kitzelmann · arXiv · Aug 25, 2026
Large language models are increasingly used for knowledge graph question answering (KGQA), but can fail to correctly ground answers in the underlying graph. Current approaches to LLM-based KGQA either rely on full semantic parsing into exec…
- Enhancing LLM Reasoning Performance Based on a Mathematical Knowledge Graph: Focusing on Quadratic Equation ProblemsJaehyun Park, Kyuseong Cho, Seokmin Kim, 김종덕 · 정보과학회 컴퓨팅의 실제 논문지 · Aug 25, 2026
- Adapting Knowledge Graphs for Behavior Denoising in Sequential RecommendationZichun Jin, Zihan Zhou, Yinan Liu, Bin Wang et al. · arXiv · Aug 21, 2026
Sequential recommendation predicts the next item from a user's interaction history, but not every interaction is equally informative. Real logs combine persistent preferences with temporary needs, exploration, and incidental behavior, so so…
- Enhancing LLMs in Predictive Political QA with Semi-Structured DataYinan Liu, Zihan Zhou, Zichun Jin, Xinyu Wang et al. · arXiv · Aug 21, 2026
Predictive political question answering (QA), such as predicting how a political actor will vote, goes beyond factual lookup. External political resources offer rich historical evidence, but rarely contain the answer itself. Existing LLM au…
- Reconciling Manufacturer Claims with Measured Degradation in Commercial Lithium-Ion Cells: A Provenance-Aware Knowledge Graph with Coverage-Gated AbstentionAlexandru Lecu, Lezan Hawizy, Adrian Groza · Batteries · Aug 20, 2026
Manufacturer datasheets state battery cycle life under conditions that rarely match how cells are used, while public cycling datasets measure degradation under conditions datasheets do not cover. We present a knowledge-graph (KG) system tha…
- CONCEPTUAL FRAMEWORK FOR AUTOMATED CURRICULUM MAPPING IN OUTCOME-BASED EDUCATION USING SEMANTIC REASONINGOluwatosin Amoke Fabiyi, Oludele Awodele, Modupe Ruth Omofoye, Paul Godwin Daniel · Global Journal of Engineeri... · Aug 19, 2026
Higher education institutions globally are being mandated to implement Outcome-Based Education (OBE), placing curriculum mapping at the center of quality assurance. Yet mapping remains labour-intensive, subjective, and inadequate at scale. …
- On the Fragility of Self-Improving Agents: Variance, Task Order, and UnderspecificationQinyuan Ye, Yu Li, Yada Pruksachatkun, Jiaxin Zhang et al. · arXiv · Aug 18, 2026
Memory-based self-improving agents--those that learn from an online stream of tasks and improve over time by maintaining a textual memory bank--have shown great promise in recent literature. However, the reliability aspects of these methods…
- Quipu: A Governed Bitemporal Knowledge Graph StoreSteve Brown · arXiv · Aug 17, 2026
Agents now write knowledge graphs, but knowledge-graph stores still carry defaults set when humans curated them: accept writes now and clean later, keep one time axis or none, treat every writer's facts as equally trustworthy, and leave gov…
- Knowledge-based overlapping reaction community detection for interpretable simplification of petrochemical reaction networksKexin Bi, Yi Tao, Tujie Chen, Guang Song et al. · Engineering Applications of... · Aug 17, 2026
- An Intelligent Recommendation System for English Translation Based on Knowledge Graph in Cross-Cultural CommunicationR. Li, K.-X. Xu, L. Feng · Advanced Electromagnetics · Aug 13, 2026
Accurate cross-cultural translation is essential for international scientific collaboration and technical knowledge dissemination, including communication in electromagnetic waves, antennas, and propagation research. To address the limitati…
- Constructing Dynamic Master Logic Models as Knowledge Graphs for Complex System Diagnostics Using Retrieval-Augmented Large Language ModelsSaman Marandi, Yu-Shu Hu, Mohammad Modarres · arXiv · Aug 12, 2026
Dynamic Master Logic (DML) provides a hierarchical framework for representing system behavior by linking functional objectives to underlying structural elements. However, DML construction typically relies on expert interpretation of technic…
- VAKRA: Evaluating Multi-Hop Reasoning Across APIs and Retrieval Under Tool-Use PoliciesAnkita Rajaram Naik, Anupama Murthi, Benjamin Elder, Siyu Huo et al. · arXiv · Aug 12, 2026
Agents deployed in enterprise settings must reason across structured APIs and document collections, yet existing benchmarks evaluate these capabilities in isolation. We introduce VAKRA (e\textbf{V}aluating \textbf{A}PI and \textbf{K}nowledg…
- RTSKG: Building a Rail Transit Station Knowledge Graph DatasetShutong Zhu, Tianxing Wu, Runfeng Liu, Yuang Gu et al. · arXiv · Aug 11, 2026
Rail transit systems play a vital role in urban mobility and economic development. As key components of such systems, rail transit stations function as critical transport hubs that enhance urban accessibility and stimulate development in su…
- Knowledge proliferation: a domain-driven framework for multi-faceted knowledge graph generation from business dataShengWei Xu · World Wide Web · Aug 8, 2026
- Decision-support for liquefied natural gas carrier port state control inspections based on knowledge graph enhanced retrieval-augmented generationQihao Yang, Langxiong Gan, Yuan Cai, Sheng Gao et al. · Ocean Engineering · Aug 7, 2026
- An explainable knowledge graph framework for risk-aware maintenance of medical devicesMawloud Titah, Mohammed Abdelghani Bouchaala · Network Modeling Analysis i... · Aug 7, 2026
- Multi-relational knowledge graph completion with joint embedding of entities and relationsDianhui Mao, Ruixuan Li, Huayi Ma, Zhihua Zhao et al. · Knowledge and Information S... · Aug 4, 2026
- Application of information retrieval system based on knowledge graph in educationAina Hu, Sharmin Kutty Sivaraman · Discover Artificial Intelli... · Aug 2, 2026
To solve the problem that the information retrieval system in advanced higher mathematics teaching cannot deeply analyze the logical relationship of complex concepts, theorems, and formulas, which makes it difficult for users to understand …