Graph-Based Semi-Supervised Learning

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2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Constructing Structured Decision Sources for Consensus-Based Pseudo-Label Learning

    Oct 8, 2026Long WangPseudo-LabelingEnsemble Diversity

  2. Propagate, Then Sharpen: Post-Hoc Refinement of Frozen Node Classifiers

    Sep 28, 2026Preben Johnsen Bentdal, Nello Blaser, Xue-Cheng TaiGraph-Based Semi-Supervised LearningClassification

    Department of Informatics, University of Bergen · Norwegian Research Centre (NORCE)

  3. Quantum Graph Convolutional Networks: Implementation and Trainability Analysis

    Sep 17, 2026Paul San Sebastian Sein, Theodor Iosif, Tilen G. Limbäck-Stokin +2Graph-Based Semi-Supervised LearningVariational Quantum Circuits

    Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), Arrasate-Mondragon, Spain · University of the Basque Country/Euskal Herriko Unibertsitatea-EHU · Quantum Learning Labs, Department of Computer Science, University College London, London, United Kingdom +4

  4. Geometry-Aware Graph Construction via Adaptive Spectral Bandwidth Control

    Sep 3, 2026Ecem Bozkurt, Antonio OrtegaGraph Structure LearningGraph-Based Semi-Supervised Learning

    Department of Electrical and Computer Engineering University of Southern California, Los Angeles, CA, USA

  5. Fermat Active Laplace Learning for Semi-Supervised Hyperspectral Image Classification

    Aug 3, 2026Vutichart Buranasiri, James M. MurphyActive LearningGraph-Based Semi-Supervised Learning

    Department of Mathematics Tufts University Medford, MA 02155, USA

  6. Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus

    Jul 30, 2026Rasmus Tirsgaard, Laurits Fredsgaard, Marisa Wodrich +2Ensemble LearningGraph-Based Semi-Supervised Learning

    Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark.

  7. No Data Is Not No Risk: Visibility Aware Graph-Based Inference of Business Conduct Risk

    Jul 29, 2026Tsuyoshi Iwata, Johannes Laurmaa, Ryohei HisanoGraph Neural NetworksGraph-Based Semi-Supervised Learning

    RepRisk AG Zurich, Switzerland · The University of Tokyo Tokyo, Japan · The Canon Institute for Global Studies Tokyo, Japan

  8. A Novel Graph Fraud Detector via Grouped Attribute Completion and Confidence-Aware Contrastive Learning

    Jul 13, 2026Junpeng Wu, Ye YuanGraph Neural NetworksGraph-Based Semi-Supervised Learning

    College of Computer and Information Science Southwest University Chongqing, China

  9. Integrating Large Language Models and Graph Convolutional Networks for Semi-Supervised Image Classification

    Jul 10, 2026Camila Piscioneri Magalhães, Lucas Pascotti ValemGraph Neural NetworksGraph-Based Semi-Supervised Learning

    Institute of Mathematics and Computer Science (ICMC) University of São Paulo (USP) São Carlos – SP – Brazil

  10. Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization

    Jul 8, 2026Adam M. ObermanData AugmentationGraph-Based Semi-Supervised Learning

    Department of Mathematics and Statistics, McGill University · Mila, Quebec AI Institute · LawZero

  11. A Near-Linear-Time Solver for Graph pp-Laplacian Semi-Supervised Learning via Continuation in pp

    Jul 3, 2026Oren E. LivneGraph-Based Semi-Supervised LearningSemi-Supervised Learning

    Pine Birch Analytics, Churchville, PA

  12. SLeDGe: Semi-Supervised Learning on Data Streams with Graph Structure Learning

    Jun 19, 2026Heechan Moon, Kijung ShinGraph Structure LearningGraph-Based Semi-Supervised Learning

    KAIST, Seoul, Republic of Korea

  13. ARMA-C3: A Contrastive ARMA Convolutional Framework for Unsupervised and Semi-supervised Classification

    May 25, 2026VSS Tejaswi Abburi, Saurabh J. Shigwan, Nitin KumarGraph Neural NetworksUnsupervised Representation Learning

    Department of Computer Science and Engineering, Shiv Nadar Institute of Eminence Deemed to be University, Delhi NCR, India

  14. Gaussian Rank-Based Neighborhood Degree for Graph Neural Networks in Image Classification

    May 23, 2026Rafael Mendonça Duarte, Jean Roberto Ponciano, Lucas Pascotti ValemGraph Neural NetworksGraph-Based Semi-Supervised Learning

    Institute of Mathematics and Computer Science (ICMC) University of São Paulo (USP) São Carlos – SP – Brazil

  15. Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification

    May 18, 2026Brown Zaz, Mar Gonzàlez I Català, Ferran Hernandez Caralt +2Graph Neural NetworksGraph-Based Semi-Supervised Learning

    University of Cambridge

  16. Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning

    May 8, 2026Yaxin Hou, Jun Ma, Hanyang Li +3Graph-Based Semi-Supervised LearningPseudo-Labeling

    School of Computer Science and Engineering, Southeast University, Nanjing, China. · School of Electrical Engineering, Southeast University, Nanjing, China. · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, Nanjing, China.

  17. Adaptive graph-based algorithms for conditional anomaly detection and semi-supervised learning

    May 5, 2026Michal ValkoGraph-Based Semi-Supervised LearningSemi-Supervised Learning

    Comenius University, Bratislava · University of Pittsburgh

  18. Online semi-supervised perception: Real-time learning without explicit feedback

    Apr 30, 2026Branislav Kveton, Michal Valko, Matthai Phillipose +1Graph-Based Semi-Supervised LearningSemi-Supervised Learning

    Intel Labs Santa Clara, CA · Intel Labs Seattle, WA · Department of Computer Science University of Pittsburgh +1

  19. Semi-supervised learning with max-margin graph cuts

    Apr 29, 2026Branislav Kveton, Michal Valko, Ali Rahimi +1Graph-Based Semi-Supervised LearningSemi-Supervised Learning

    Intel Labs Santa Clara · University of Pittsburgh · Intel Labs Berkeley

  20. Large-scale semi-supervised learning with online spectral graph sparsification

    Apr 29, 2026Daniele Calandriello, Alessandro Lazaric, Michal ValkoGraph SparsificationGraph-Based Semi-Supervised Learning

    Team SequeL Inria Lille – Nord Europe, France

  21. G-Loss: Graph-Guided Fine-Tuning of Language Models

    Apr 28, 2026Aditya Sharma, Vinti Agarwal, Rajesh KumarLLM Fine-TuningText Classification

    BITS Pilani, India · Bucknell University, USA

  22. F\textsuperscript{2}LP-AP: Fast & Flexible Label Propagation with Adaptive Propagation Kernel

    Apr 22, 2026Yutong Shen, Ruizhe Xia, Jingyi Liu +1Graph-Based Semi-Supervised LearningSemi-Supervised Learning

    Beijing University of Technology

  23. From Articles to Canopies: Knowledge-Driven Pseudo-Labelling for Tree Species Classification using LLM Experts

    Apr 17, 2026Michał Romaszewski, Dominik Kopeć, Michał Cholewa +6Tree Species ClassificationGraph-Based Semi-Supervised Learning

    Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, Gliwice, 44-100, Poland · University of Lodz, Narutowicza 68, 90-136, Lodz, Poland · MGGP Aero, Kaczkowskiego 6, 33-100, Tarnów, Poland +1

  24. Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size

    Oct 6, 2025Farid Bozorgnia, Vyacheslav Kungurtsev, Shirali Kadyrov +1Graph-Based Semi-Supervised LearningGraph Diffusion