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KG: Knowledge Graph

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10 papers in the last four weeks, down 17% on the four weeks before. 0.1% of all new papers.

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Latest papers 124

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FineREX: Fine-Tuned NER-RE for Human Smuggling Knowledge Graphs
Jun 18, 2026Elijah Feldman, Dipak Meher, Carlotta DomeniconiRelation Extraction KG Construction
Thomas Jefferson High School for Science and Technology, Annandale, VA, USA · Department of Computer Science, George Mason University, Fairfax, VA, USA
Darshana Graph: A Parallel Commentary Corpus for Comparative Indian Philosophy, with Stylometric and Exploratory Graph Analyses
Jun 16, 2026Joy BoseKG Construction Stylometry
Independent Researcher Bangalore, India
Semantic Reasoning in Medicine: The Role of Knowledge Graphs Across Five Key Domains
Jun 13, 2026Haniye Sherafatmandjoo, Mohammad Akbari, Zahed RahmatiKG Construction Healthcare
Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran
Agents-K1: Towards Agent-native Knowledge Orchestration
Jun 11, 2026Zongsheng Cao, Bihao Zhan, Jinxin Shi +23KG Construction AI for Science
Shanghai Artificial Intelligence Laboratory · East China Normal University · Fudan University
Towards a Bridge Layer Between Bibliographic and Formalized Mathematical Knowledge
Jun 9, 2026A. MayeuxKG Construction
University of Wisconsin-Madison
From USD Scenes to Knowledge Graphs: Zero-Shot Ontology Grounding with LLMs
Jun 8, 2026Jiangtao Shuai, Zongxiong Chen, Manfred Hauswirth +1KG Construction LLM Grounding
Technical University of Berlin, Germany · Fraunhofer FOKUS, Germany
From Regulatory Approvals to Patents: Cross-Domain Linking for Cardiovascular Device Traceability
Jun 6, 2026Yang Qingqing, Liu Haijiang, Li MoyanKG Construction Healthcare
HKUST (Guangzhou) · Wuhan Univ. of Sci. & Tech. · Hubei Key Lab. of Intelligent Info. Processing (Guangzhou)
MetaConfigurator: AI-Assisted RDF Authoring from JSON Data
Jun 5, 2026Felix Neubauer, Mahdi Jafarkhani, Kenichi Endo +2KG Construction
Institute for Parallel and Distributed Systems, University of Stuttgart · Institute of Polymer Chemistry, University of Stuttgart · Institute of Biochemistry, University of Stuttgart
Executable Schema Contracts: From Automatic Ingestion to Multi-Source Retrieval
Jun 3, 2026Padmaja Jonnalagedda, Yuguang Yao, Xiang Gao +2KG Construction Knowledge Representation
Intuit AI Research
Construction of Historical Knowledge Graphs Based on BERT and Graph Neural Networks
Jun 1, 2026Ping Li, Bartlomiej BrzozkaKG Construction Historical Document Analysis
Shandong Management University, Jinan, Shandong Province, 250357, China · Maria Curie-Sklodowska University, Faculty of Mathematics, Physics and Computer Science, 20-031 Lublin, Poland
UniD $^3$ : A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and Reasoning
May 31, 2026Qing Wang, Tianshi Liu, Minghao Zhou +5Relation Extraction KG Construction
Department of Health Outcomes and Biomedical Informatics, University of Florida, Florida, USA · Department of Hematology, H. Lee Moffitt Cancer Center and Research Institute, Florida, USA · Center for Bioinformatics and Computational Biology, Houston Methodist Research Institute, Houston, TX, USA +2
MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
May 30, 2026Chuanjie Wu, Zhishang Xiang, Yunbo Tang +3KG Construction Multi-Agent LLM Systems
Xiamen University1, 2 · Xiamen University2, 3 · Xiamen University1 +2
Reading Between the Citations: A Typed Claim Network for Scientific Literature
May 29, 2026Ning Ding, Sergio J. Rodríguez Méndez, Pouya G. OmranKG Construction Graph Retrieval-Augmented Generation
Australian National University, Canberra ACT 2601, Australia
Better Later Than Sooner: Neuro-Symbolic Knowledge Graph Construction via Ontology-grounded Post-extraction Correction
May 27, 2026Lorenzo Loconte, Timothy Hospedales, Cristina CornelioKG Construction Neuro-Symbolic AI
University of Edinburgh, UK · Samsung AI Center, Cambridge, UK
Snippet-Driven Supply Chain Discovery with LLMs: Scaling Visibility in China
May 27, 2026Hiroto Fukada, Takayuki MizunoRelation Extraction KG Construction
Graduate Institute for Advanced Studies (SOKENDAI) · National Institute of Informatics · Tokyo, Japan
Traceable Knowledge Graph Reasoning Enables LLM-Assisted Decision Support for Industrial VOCs in the Steel Industry
May 26, 2026Changqing Su, Yu Ding, Zuhong Lin +4KG Construction Multi-Agent LLM Systems
Hunan Key Laboratory of Carbon Neutrality and Intelligent Energy, School of New Energy and Environment, Hunan University of Technology and Business, Changsha 410205, P.R. China · Aerospace Kaitian Environmental Technology Co., Ltd., Changsha 410315, P.R. China · School of Energy Science and Engineering, Central South University, Changsha2026 410083, P.R. China
Helicase: Uncertainty-Guided Supply Chain Knowledge Graph Construction with Autonomous Multi-Agent LLMs
May 26, 2026Yunbo Long, Haolang Zhao, Ge Zheng +1Multi-Hop QA KG Construction
Department of Engineering, University of Cambridge, Cambridge, UK · The Alan Turing Institute, London, UK
Generating Logically Consistent Synthetic Supply Chain Data with LLM-Driven Knowledge Graph Reasoning
May 26, 2026Yunbo Long, Ge Zheng, Liming Xu +1KG Construction Synthetic Data Generation
Department of Engineering, University of Cambridge, Cambridge, United Kingdom · The Alan Turing Institute, London, United Kingdom
ChronoMedKG: A Temporally-Grounded Biomedical Knowledge Graph and Benchmark for Clinical Reasoning
May 21, 2026Md Shamim Ahmed, Farzaneh Firoozbakht, Lukas Galke Poech +2KG Construction Healthcare
University of Southern Denmark · University of Hamburg
Evaluation of Pipelines for Data Integration into Knowledge Graphs
May 21, 2026Marvin Hofer, Erhard RahmKG Construction Knowledge Graphs
ScaDS.AI Dresden/Leipzig · Leipzig University, Germany
Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables
May 21, 2026Jingxuan Qi, Zhiqiang Ye, Yuxiang FengKG Construction Document Information Extraction
South China University of Technology · Guangzhou, China
SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research
May 20, 2026Shuofei Qiao, Yunxiang Wei, Jiazheng Fan +8KG Construction AI-Assisted Scientific Research
Zhejiang University · University College London
BLINKG: A Benchmark for LLM-Integrated Knowledge Graph Generation
May 19, 2026Carla Castedo, Enrique Iglesias, Manuel Lama +3KG Construction LLM Evaluation
Leibniz University, Hannover, Germany
Historical Knowledge Graphs for Global Maritime Estimated Time of Arrival
May 18, 2026Neofytos DimitriouKG Construction Traffic Forecasting
Maritime Digitalization Centre Cyprus Marine and Maritime Institute Larnaca 6300, Cyprus
Multimodal Cultural Heritage Knowledge Graph Extension with Language and Vision Models
May 17, 2026Yang Zhang, Nada Mimouni, Jean-Claude Moissinac +1KG Construction Cultural Heritage
Télécom Paris, Institut Polytechnique de Paris, France · Center for Studies and Research in Computer Science and Communication, CNAM · Center for Studies and Research in Computer Science and Communication, CNAM, France +1
RAGA: Reading-And-Graph-building-Agent for Autonomous Knowledge Graph Construction and Retrieval-Augmented Generation
May 16, 2026Chengrui Han, Zesheng ChengKG Construction Graph Retrieval-Augmented Generation
Qingdao University
GRID: Graph Representation of Intelligence Data for Security Text Knowledge Graph Construction
May 15, 2026Liangyi Huang, Zichen Liu, Fei Shao +5KG Construction Cyber Threat Intelligence
Arizona State University · Case Western Reserve University · University of Notre Dame +2
Enhancing Metacognitive AI: Knowledge-Graph Population with Graph-Theoretic LLM Enrichment
May 15, 2026Deniz Askin, Gal Hadar, Brendan Conway-SmithKG Construction Knowledge Representation
Department of Cognitive Science, Carleton University · Faculty of Computer and Information Science, Ben-Gurion University of the Negev
Ontology for Policing: Conceptual Knowledge Learning for Semantic Understanding and Reasoning in Law Enforcement Reports
May 15, 2026Anita Srbinovska, Jansen Orfan, Adrian Martin +1KG Construction Document Information Extraction
Office of Business Intelligence Rochester Police Department Rochester, NY, USA · Department of Computer Science Rochester Institute of Technology Rochester, NY, USA · School of Mathematics and Statistics Rochester Institute of Technology Rochester, NY, USA
Context-aware Entity-Relation Extraction for Threat Intelligence Knowledge Graphs
May 15, 2026Inoussa Mouiche, sherif SaadRelation Extraction KG Construction
School of Computer Science, University of Windsor, ON, Canada

Jun 18, 2026, cs.CLJ/K move · Enter open · S save

FineREX: Fine-Tuned NER-RE for Human Smuggling Knowledge Graphs

Elijah Feldman, Dipak Meher, Carlotta Domeniconi

Thomas Jefferson High School for Science and Technology, Annandale, VA, USA · Department of Computer Science, George Mason University, Fairfax, VA, USA

Relation Extraction KG Construction Named Entity Recognition Legal NLP LLM Information Extraction

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Court proceedings contain valuable evidence about human smuggling networks, but this information is often buried within unstructured, jargon-heavy legal documents. While large language models (LLMs) can support knowledge graph construction through automated information extraction, existing approaches rely on general-purpose models that are not tailored to the entity and relationship definitions required in this domain. We introduce FineREX, a streamlined knowledge graph construction pipeline built around a fine-tuned LLM for named entity recognition and relationship extraction (NER-RE). Using a manually annotated dataset of

512

text chunks, FineREX achieves absolute improvements of 15.50% and 31.46% in entity and relationship F1-score, respectively, compared to a larger general-purpose baseline. These gains translate into higher-quality knowledge graphs, reducing legal noise by nearly half and lowering node duplication on long documents from 17.78% to 11.17%. By eliminating document rewriting and redundant extraction stages, FineREX also reduces end-to-end processing time by 50.0%. Our results demonstrate that domain-specific fine-tuning can substantially outperform larger general-purpose models while improving both the quality and efficiency of knowledge graph construction for illicit network analysis.

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