Graph Embedding

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3 papers in the last four weeks, down 40% on the four weeks before. 0.0% of all new papers.

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  1. Hyperbolic Graph Representation Learning: Embed in One Metric, Optimize with Another

    Oct 5, 2026Federico Larroca, Paola Bermolen, Marcelo Fiori +1Riemannian OptimizationHierarchical Representation Learning

    Facultad de Ingenier´ıa Universidad de la Rep´ublica Uruguay

  2. Learning Commute-Time-Preserving World Models for Planning

    Oct 1, 2026Michael Hauri, Peter Buttaroni, Fabian A. Mikulasch +1Representation LearningWorld Model Learning

    Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland · Faculty of Science, University of Basel, Switzerland

  3. GeoGAE: Scalable Graph-Level Autoencoding via Hyperball Cloud Representations

    Sep 28, 2026Radosław Nowak, Anna Bielawska, Bogusz Stefańczyk +2Graph Neural NetworksGraph Representation Learning

    Institute of Theoretical and Applied Informatics Polish Academy of Sciences · IDEAS Research Institute · Faculty of Mathematics, Informatics and Mechanics Warsaw University of Technology

  4. Topology-induced Operators Reveal Complementary Graph Representations without Training

    Sep 8, 2026Meng Qin, Jinqiang Cui, Hongwei Zheng +2Graph Representation LearningGraph Embedding

    Department of Strategic & Advanced Interdisciplinary Research, Pengcheng Laboratory (PCL), Shenzhen, Guangdong, China. · Beijing Academy of Blockchain and Edge Computing, Beijing, China. · LMIB, NLSDE, and School of Artificial Intelligence, Beihang University, Beijing, China. +1

  5. Population-Calibrated Graph Screening at 835-Million-Address Scale, with Label-Free Transfer to New Chains

    Sep 2, 2026Yury KorolevFinancial Fraud DetectionGraph Embedding

    AIDECISIONS, London

  6. Spectral Initialization and Scheduled Graph Smoothness for Uncertain Knowledge Graph Completion

    Sep 2, 2026Md Abrar Jahin, Taufikur Rahman Fuad, Jay Pujara +1KG CompletionLink Prediction

    University of Southern California · Islamic University of Technology

  7. Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data

    Aug 29, 2026Thiago César Castilho Almeida, Gustavo Rosseto Letício, Lucas Pascotti Valem +2Graph Representation LearningUnsupervised Representation Learning

    Department of Statistics, Applied Math. and Computing, State University of S˜ao Paulo (UNESP), Rio Claro, Brazil · Institute of Mathematical Sciences and Computing, University of S˜ao Paulo (USP), S˜ao Carlos, Brazil · Department of Computer Science, University of Manchester, Manchester, United Kingdom +1

  8. Enhancing Distance-Based Graph Autoencoders with Structural Penalties for Dynamic Graph Embedding

    Aug 19, 2026Aleksandar Tomčić, Miloš Savić, Miloš RadovanovićGraph Neural NetworksDynamic Graph Learning

    Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Serbia Trg Dositeja Obradovi´ca 4, 21000 Novi Sad, Serbia

  9. Spectral Embeddings of Degree-αα Laplacians in Random Dot Product Graphs

    Aug 11, 2026John Park, Ning HaoClusteringSpectral Clustering

    University of Hong Kong · University of Arizona

  10. Pretraining on Call Graphs: When Binary Analysis Tasks Profit From Context

    Aug 3, 2026Samuel Valenzuela, Johannes KinderRepresentation LearningGraph Representation Learning

    Ludwig-Maximilians-Universität München · Munich Center for Machine Learning · Center for Digital Technology and Management +1

  11. Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction

    Jul 31, 2026Sen Zhao, Cheng Liu, Shuyin Xia +4Graph Representation LearningLink Prediction

    Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing, Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China · Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China · Chongqing Ant ConsumerFinance Co,. Ltd, Ant Group, Chongqing, 400065, China

  12. Kohn-Sham Spectral Embedding on Sparse Graphs at the Nishimori Temperature for Image Classification

    Jul 30, 2026V. S. Usatyuk, D. A. Sapozhnikov, S. I. EgorovGraph Representation LearningEnergy-Based Models

    Department of Computer Engineering, South-West State University (SWSU), Kursk, 305040 Russia · T8 LLC, R&D Department, Information Theory Group, Moscow, 107076 Russia

  13. Distance-Preserving Embeddings in Inhomogeneous Random Graphs

    Jul 11, 2026My Le, Luana Ruiz, Souvik DharaGraph Neural NetworksGraph Embedding

    Department of Applied Mathematics & Statistics Johns Hopkins University Baltimore, MD 21218, USA · School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta, GA 30332, USA

  14. EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning

    Jul 7, 2026Przemysław RolaManifold LearningGraph Embedding

    Department of Mathematics, Krakow University of Economics

  15. Enhanced Feature Extraction for IoT Network Intrusion Detection Using GNNs and KAN

    Jul 3, 2026Long Zhao, Shixun Ji, Bin Cheng +1Graph Neural NetworksIoT Intrusion Detection

    Department of Control Science & Engineering, Tongji University, Shanghai 201804, China · National Key Laboratory of Autonomous Intelligent Unmanned Systems, Shanghai 201203, China

  16. Visualizing High-Dimensional Graph Embeddings via Informed Multi-View Projections

    Jun 30, 2026Ya Ji, Xuefeng Li, Timo Brand +4Scientific VisualizationData Visualization

    Khoury College of Computer Sciences, Northeastern University, Seattle · School of Computation, Information and Technology, Technical University of Munich, Heilbronn, Germany

  17. AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation

    Jun 30, 2026Bao Long Nguyen Huu, Atsushi HashimotoGraph Representation LearningGraph SSL

    OMRON Corporation · OMRON SINIC X Corporation

  18. FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism

    Jun 20, 2026Peng Fang, Arijit Khan, Ziqiang Wu +4Communication-Efficient Distributed TrainingGraph Embedding

    Huazhong University of Science and Technology · Bowling Green State University

  19. Compact Geometric Representations of Hierarchies

    Jun 16, 2026Prashant Gokhale, Piotr Indyk, Yuhao Liu +3Hierarchical Representation LearningGeometric Representation Learning

    UW-Madison · MIT

  20. On solving symmetric multi-type orthogonal non-negative matrix tri-factorization problem

    Jun 6, 2026Rok Hribar, Gregor Papa, Janez Povh +1Non-Negative Matrix FactorizationGraph Clustering

    Computer Systems Department, Jožef Stefan Institute, Jamova cesta 39, Ljubljana, 1000, Slovenia. · Laboratory for Engineering Design, Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva cesta 6, Ljubljana, 1000, Slovenia. · Rudolfovo – Science and Technology Centre Novo mesto, Podbreznik 15, Novo mesto, 8000, Slovenia. +1

  21. Geometry of Semantic Space: Comparative Study of Discrete and Continuous Models

    Jun 5, 2026Gabriel Bounias, Sabine PlouxNeural Representation GeometryGraph Embedding

    ISC-PIF (Institut des Systemes Complexes de Paris IdF), CNRS, France · CAMS (Centre d’analyse et de mathématique sociales), CNRS & EHESS, Paris, France

  22. Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings

    May 21, 2026Jakub Radzikowski, Josef ChenGraph Embedding

  23. The ASE-LSE Disagreement Landscape: An End-to-End Characterisation of Extremes and Structural Drivers

    May 21, 2026Minh Triet Pham, Ian GallagherGraph EmbeddingSpectral Methods

    School of Mathematics and Statistics The University of Melbourne, Australia

  24. Euclidean Embedding of Data Using Local Distances

    May 19, 2026Dimitris ArabadjisManifold LearningDimensionality Reduction

    Department of Statistics and Actuarial-Financial Mathematics University of the Aegean Karlovassi, Samos, PA 83200

  25. CORE: Cyclic Orthotope Relation Embedding for Knowledge Graph Completion

    May 11, 2026Yingqi Zeng, Luying Wang, Huiling ZhuGraph Representation LearningKG Embedding

  26. GravityGraphSAGE: Link Prediction in Directed Attributed Graphs

    May 10, 2026Riccardo Porcedda, Francesca Chiaromonte, Fabrizio Lillo +1Graph Neural NetworksGraph Representation Learning

    Department of Excellence L’EMbeDS, Sant’Anna School of Advanced Studies, Pisa, Italy · Department of Statistics and Huck Institutes of the Life Sciences, The Pennsylvania State University, USA · Class of Science, Scuola Normale Superiore, Pisa, Italy +1

  27. Multiscale Euclidean Network Trajectories: Second-Moment Geometry, Attribution, and Change Points

    May 6, 2026Haruka Ezoe, Ryohei HisanoDynamic Graph LearningChange-Point Detection

    Graduate School of Information Science and Technology The University of Tokyo · The Canon Institute for Global Studies

  28. A Unified Framework of Hyperbolic Graph Representation Learning Methods

    Apr 30, 2026Sofía Pérez Casulo, Marcelo Fiori, Bernardo Marenco +1Graph Representation LearningGraph Embedding

    Facultad de Ingenier´ıa, Universidad de la Rep´ublica, Uruguay · Centro Interdisciplinario en Ciencia de Datos y Aprendizaje Autom´atico (CICADA), Universidad de la Rep´ublica, Uruguay

  29. Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding

    Apr 21, 2026Gerard Pons, Carlos Escolano, Besim Bilalli +1Graph Representation LearningKG Embedding

    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

  30. How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations

    Apr 16, 2026Nouhaila Innan, Antonello Rosato, Alberto Marchisio +1Quantum Machine LearningQuantum-Inspired ML

    eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE · Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome, Italy · Center for Quantum and Topological Systems (CQTS), NYUAD Research Institute, NYUAD, Abu Dhabi, UAE