Knowledge Graph Embeddings

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4 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

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ImbalancE: Inference-Time Latent Search Against Degree Imbalance in Link Prediction
Sep 29, 2026Alberto Bernardi, Luca Costabello, Christophe GueretKnowledge Graph Embeddings Zero-Shot Link Prediction
Accenture Labs, Dublin, Ireland
GeoOutageBench: Benchmarking Ambiguity-aware, Ontology-grounded Geospatiotemporal KGQA for Multimodal Power Outage and Resilience Analysis
Sep 28, 2026Ethan D. Frakes, Amy Kvien, Rishabh Kundu +8Disaster Response Knowledge Graph Embeddings
University of Central Florida Orlando, Florida, USA · Case Western Reserve University Cleveland, Ohio, USA
Scalable GNN-based Knowledge Graph Representation Learning with Efficient Message Passing
Sep 28, 2026Huu Tan Mai, Cuong Xuan Chu, Heiko Paulheim +1Graph Neural Networks Knowledge Graph Embeddings
Bosch Center for Artificial Intelligence, Robert-Bosch-Campus 1, 71272 Renningen, Germany · University of Mannheim, Schloss, 68131 Mannheim, Germany
When Successful Knowledge Graph Edits Displace Correct Answers: Rank-Level Locality beyond Parameter Support
Sep 14, 2026Yi-Cheng Lai, Jerry Wang, Hsin-Ling Hsu +3Multimodal Knowledge Editing Knowledge Graph Embeddings
Institute of Information Science, Academia Sinica Taipei, Taiwan · University of Illinois Urbana-Champaign Urbana, IL, USA · National Chengchi University Taipei, Taiwan
Pattern Over-Generalization of Knowledge Graph Embedding
Sep 3, 2026Junsik Kim, Kangil KimKnowledge Graph Embeddings Zero-Shot Link Prediction
Gwangju Institute of Science and Technology
Hidden relationships in a document-derived property graph: top-k chunk embeddings and inverse-distance weighting over a dynamically evolving ontology
Aug 31, 2026Bilge Kaan Karamete, Hunter CastenKnowledge Graph Embeddings Knowledge Graphs
Babel Street
PyKEEN-NSX: A Modular Framework for Static, Dynamic and Schema-Aware Negative Sampling in PyKEEN
Aug 31, 2026Ivan Diliso, Nicola Fanizzi, Claudia d'AmatoKnowledge Graph Embeddings Negative Results
1Dipartimento di Informatica, University of Bari Aldo Moro, Bari, Italy
General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting
Aug 18, 2026Mattis Thor Straten, Yannick Wolker, Steffen Strohm +3Accurate Traffic Forecasting Temporal Graph Neural Networks
Department of Computer Science, Kiel University, Germany · GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany · ZBW – Leibniz Information Centre for Economics, Kiel, Germany
Evidence-Grounded Multimodal Knowledge Graph Construction for Multi-Lecture Educational Reasoning
Aug 4, 2026Sahil Al Farib, Momota Ahsana Meem, Sheikh Redwanul Islam +1Knowledge Graph Embeddings Knowledge Graphs
Department of Computer Science & Engineering, United International University, Dhaka, Bangladesh
BEST-KAG: Enhancing Question Answering of Building Engineering Standards with Multimodal Knowledge Graph Modeling and Large Language Model
Aug 2, 2026Jia-Rui Lin, Junxi Guo, Keyin Chen +1Knowledge Graph Embeddings Construction
Department of Civil Engineering, Tsinghua University, Beijing, China, 100084 · Key Laboratory of Digital Construction and Digital Twin, Ministry of Housing and Urban-Rural Development, Beijing, China, 100084
Fully Inductive Cardinality Estimation
Jul 30, 2026Tim Schwabe, Lukas Ketzer, Maribel AcostaKnowledge Graph Embeddings Cardinality
Technical University of Munich, Munich, Germany
EvoGraph-R1: Self-Evolving Multimodal Knowledge Hypergraphs for Agentic Retrieval
Jul 14, 2026Jiashi Lin, Changhong Jiang, Xiangru Lin +12Graph-Based Retrieval Augmented Generation Knowledge Graph Embeddings
1Northwestern Polytechnical University · 3The University of Hong Kong · 5The Chinese University of Hong Kong (Shenzhen) +2
GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention
Jul 11, 2026Jiaxin Pan, Osama Mohammed, Daniel Hernández +1Temporal Knowledge Graphs Knowledge Graph Embeddings
Analytic Computing, Institute for Artificial Intelligence, University of Stuttgart, Stuttgart, Germany · University of Southampton, Southampton, United Kingdom.
Time Imprint: Learning Time-Aware Representations in Multi-Modal Knowledge Graphs
Jul 8, 2026Pengyu Zhang, Klim Zaporojets, Congfeng Cao +2Knowledge Graph Embeddings Multimodal Representations
University of Amsterdam Amsterdam, The Netherlands · Aarhus University Aarhus, Denmark
PhenoNEST: A Neuro-Symbolic Framework for Ontology-Aware Multimodal Plant Phenotyping and Trait Discovery
Jul 3, 2026Jayant Ghadge, Soumyashree Kar, Surya S. DurbhaTomato Diseases Knowledge Graph Embeddings
Centre of Studies in Resources Engineering (CSRE) Indian Institute of Technology Bombay Mumbai, India
MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction
Jul 2, 2026Wenbo ZhangBiomedical Knowledge Graph Knowledge Graph Embeddings
College of Computer and Information Science, Southwest University, Chongqing, Chongqing, China
Measuring Graph-to-Graph Semantic Similarity in Knowledge Graphs: An Empirical Evaluation of Knowledge Graph Embeddings
Jun 28, 2026Seungryeol Baek, Wooseok Sim, Hogun ParkKnowledge Graph Embeddings Knowledge Graphs
Department of Artificial Intelligence, Sungkyunkwan University Suwon, Republic of Korea
MOSAIC: Orchestrating Collaborative Knowledge Tracing with Hierarchical Semantic Alignment
Jun 27, 2026Xinjin Li, Mengyue Wang, Yuzhen Lin +4Hierarchical Semantic Alignment Knowledge Graph Embeddings
Columbia University, New York, USA · University of California, Berkeley, Berkeley, USA · School of Information Systems and Management, Carnegie Mellon University, Pittsburgh, PA, USA +4
Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMs
Jun 21, 2026Wenhao Yu, Zhicong Lu, Bo Lv +4Multimodal Knowledge Editing Knowledge Graph Embeddings
School of Computer Science and Technology, Tianjin University · Kexin Technology · University of Chinese Academy of Sciences +2
Universal Encoders for Modular Relational Deep Learning
Jun 19, 2026Jakub Peleška, Gustav ŠírRelational Deep Learning Multiplex Graph Transformers
Czech Technical University in Prague, Karlovo náměstí 13, Prague, 121 35, Czechia
Link Prediction or Perdition: the Seeds of Instability in Knowledge Graph Embeddings
Jun 2, 2026Guillaume Méroué, Fabien Gandon, Pierre MonninKnowledge Graph Embeddings Zero-Shot Link Prediction
Université Côte d’Azur, Inria, CNRS, I3S, France
HyperPatch: Sequential Knowledge Editing Under n-ary Structural Drift
Jun 2, 2026Yu-Kai Chan, Wen-Sheng Lien, Dong-Ting Yao +4Multimodal Knowledge Editing Knowledge Graph Embeddings
National Yang Ming Chiao Tung University Hsinchu, Taiwan
SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching
May 29, 2026Inwon Kang, Kavitha Srinivas, Nandana Mihindukulasooriya +4Schema Knowledge Graph Embeddings
Rensselaer Polytechnic Institute · Troy, New York, USA · IBM Research +2
Towards Localized and Disentangled Knowledge Editing for Multimodal Large Language Models
May 28, 2026Leijiang Gu, Zhen Zeng, Feng Li +2Multimodal Knowledge Editing Multimodal Large Language Models
1Hefei University of Technology, Hefei, China
Knowledge Graph Modulated Deep Learning for Limited-Sample Clinical Data Analysis
May 22, 2026Yuwei Xue, Sakib Mostafa, James Zou +5Biomedical Knowledge Graph Graph Representation Learning
Department of Radiation Oncology, Stanford University, Stanford, California, USA · Department of Electrical Engineering, Stanford University, Stanford, California, USA · Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California, USA +6
Case-Aware Medical Image Classification with Multimodal Knowledge Graphs and Reliability-Guided Refinement
May 21, 2026Yiming Xu, Yixuan Liu, Yuhang Zhang +3Medical Image Classification Medical Imaging Datasets
University of Science and Technology of China · Hefei, China
Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings
May 21, 2026Jakub Radzikowski, Josef ChenRecipe Knowledge Graph Embeddings
Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies
May 19, 2026Yasmine HayderKnowledge Graph Embeddings Knowledge Graphs
PETSCRAFT · LIFO, INSA CVL, Univ. Orléans, Inria, France
Leveraging Graph Structure in Seq2Seq Models for Knowledge Graph Link Prediction
May 18, 2026Luu Huu Phuc, Ratan Bahadur Thapa, Mojtaba Nayyeri +3Zero-Shot Link Prediction Knowledge Graph Embeddings
Analytic Computing, KI, University of Stuttgart, Stuttgart, Germany · Bosch Center for Artificial Intelligence, Stuttgart, Germany · WAIS, University of Southampton, United Kingdom
Multimodal Cultural Heritage Knowledge Graph Extension with Language and Vision Models
May 17, 2026Yang Zhang, Nada Mimouni, Jean-Claude Moissinac +1Knowledge Graph Embeddings 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
Automated Big Data Quality Assessment using Knowledge Graph Embeddings
May 12, 2026Hadi Fadlallah, Rima Kilany, Mitri Haber +1Data Quality Data Lakes
Saint-Joseph University, Beirut, Lebanon · Lebanese University, Beirut, Lebanon
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey
May 12, 2026Chengcheng Sun, Jiayun Tian, Cheng Zhai +5Knowledge Graph Embeddings Graph Neural Networks
School of Safety Engineering, China University of Mining and Technology, China · School of Computer Science and Technology, China University of Mining and Technology, China · State Key Laboratory of Coal Mine Disaster Prevention and Control, China University of Mining and Technology, China +1
CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs
May 11, 2026Yousef A. Radwan, Yao Li, Qing Qing +5Knowledge Graph Embeddings Biomedical Knowledge Graph
Technology, Innovation, Entrepreneurship Department King Abdullah University of Science and Technology · School of Computing and Information Systems The University of Melbourne · College of Computer Science and Technology Jilin University +2
Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions
May 11, 2026Sayan Kumar ChakiKnowledge Graph Embeddings Knowledge Graphs
Inria, Laboratoire Hubert Curien, Université Jean Monnet
HOME-KGQA: A Benchmark Dataset for Multimodal Knowledge Graph Question Answering on Household Daily Activities
May 10, 2026Shusaku Egami, Aoi Ohta, Tomoki Tsujimura +5Knowledge Graph Embeddings Knowledge Graphs
National Institute of Advanced Industrial Science and Technology (AIST) Koto-ku, Tokyo, Japan
MBP-KT: Learning Global Collaborative Information from Meta-Behavioral Pattern for Enhanced Knowledge Tracing
May 9, 2026Yuhao Jia, Duantengchuan Li, Jinsong Chen +4Cross-Task Knowledge Transfer Knowledge Graph Embeddings
Faculty of Artificial Intelligence in Education, Central China Normal University · School of Information Management, Wuhan University · School of Big Data and Artificial Intelligence, Chizhou University
Multi-Level Graph Attention Network Contrastive Learning for Knowledge-Aware Recommendation
May 8, 2026Zhifei Hu, Feng XiaKnowledge Graph Embeddings Graph Neural Networks
Durham University, Durham, United Kingdom · University of Sheffield, Sheffield, United Kingdom
DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation
May 8, 2026Xinchi Zou, Tongzhenzhi Su, Jianjun Li +4Knowledge Graph Embeddings Knowledge Graphs
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China · School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China · Laboratory for Artificial Intelligence and New Forms of Education, Central China Normal University, Wuhan, China
RADD: Retrieval-Augmented Discrete Diffusion for Multi-Modal Knowledge Graph Completion
Apr 28, 2026Guanglin Niu, Bo LiKnowledge Graph Completion Knowledge Graph Embeddings
School of Artificial Intelligence, Beihang University
BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimization
Apr 27, 2026Bruno F. Lourenço, Hesham Morgan, Ana Ozaki +2Knowledge Graph Embeddings Convex Optimization
The Institute of Statistical Mathematics, Japan · TU Wien, Austria · University of Oslo, Norway +1
FixV2W: Correcting Invalid CVE-CWE Mappings with Knowledge Graph Embeddings
Apr 24, 2026Sevval Simsek, Varsha Athreya, David StarobinskiCommon Vulnerabilities And Exposure Knowledge Graph Embeddings
Boston University, Boston, USA
SAKE: Self-aware Knowledge Exploitation-Exploration for Grounded Multimodal Named Entity Recognition
Apr 22, 2026Jielong Tang, Xujie Yuan, Jiayang Liu +6Named-Entity Recognition Knowledge Graph Embeddings
Sun Yat-sen University Zhuhai, China · Shandong Normal University Jinan, China · University of the Chinese Academy of Sciences Beijing, China +2
Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding
Apr 21, 2026Gerard Pons, Carlos Escolano, Besim Bilalli +1Knowledge Graph Embeddings Catastrophic Forgetting
Data-intensive Technologies and Knowledge Systems (DTAK), Department of Service and Information System Engineering, Universitat Politècnica de Catalunya, Barcelona, 08034, Catalonia, Spain · Intelligent Data Science and Artificial Intelligence Research Center (IDEAI), Department of Computer Science, Universitat Politècnica de Catalunya, Barcelona, 08034, Catalonia, Spain
MG $^2$ -RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation
Apr 4, 2026Sijun Dai, Qiang Huang, Xiaoxing You +1Multimodal Retrieval Augmented Generation Cross-Modal
School of Intelligence Science and Engineering, Harbin Institute of Technology (Shenzhen) · School of Computer Science, Hangzhou Dianzi University
FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation
Nov 17, 2025Aleksandar Stanković, Haoran Du, Xinming WangSubgraphs Knowledge Graph Embeddings
University of Novi Sad, Novi Sad, Serbia · Shanghai Key Lab of Intelligent Information Processing,2026 College of Computer Science and Artificial Intelligence, Fudan University, China · Institute of Automation, Chinese Academy of Sciences, China

Sep 29, 2026, cs.AIJ/K move · Enter open · S save

ImbalancE: Inference-Time Latent Search Against Degree Imbalance in Link Prediction

Alberto Bernardi, Luca Costabello, Christophe Gueret

Accenture Labs, Dublin, Ireland

Knowledge Graph Embeddings Zero-Shot Link Prediction Class Imbalance

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Knowledge Graph Embedding models have been extensively used to learn representations of entities and relations in Knowledge Graphs for predicting missing links. However, the quality of the learned representations varies a lot across different areas of the graph. If previous research has loosely linked the problem to relation types or degree bias, we show that it is more widespread and it correlates with the degree imbalance of the entities in test triples. In particular, the prediction of a target entity that has a degree much smaller than the degree of the anchor entity is extremely problematic. This is critical in recommender systems and other use cases, where these triples represent important corner cases. To address this issue, we propose an inference-time latent search optimization method capable of significantly improving model predictions on the most imbalanced triples. Built on top of a pre-trained model, it explores the embedding space at evaluation time, blending known and out-of-band information to mitigate the degree imbalance bias. We show the value of our approach on imbalanced triples from common benchmark datasets, where we outperform conventional methods, opening the door to the successful adoption of Knowledge Graph Embedding models on these critical corner cases.

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