Graph Diffusion

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6 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

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  1. Graph Representation via Elements of Discrete Morse and Cobordism Theories

    Oct 1, 2026Jennifer Rozenblit, Chenguang Yang, Yuxin Liu +2Diffusion Model GuidanceTopological Representation Learning

    Department of Mathematics; University of Texas, Austin · Department of Statistics; University of California, Riverside · Department of Statistics; Virginia Tech

  2. Network World Models as Environments for Algorithm Design on Complex Systems

    Oct 1, 2026Rishab Alagharu, Hongji Pu, Zeeshan Memon +3Automated Algorithm DiscoveryWorld Model-Based Planning

    Emory University · University of Illinois Urbana-Champaign

  3. Graph Residual Conjugate Diffusion: SNR-Equalized Heat Flow for Graph Signals

    Sep 30, 2026Jinwei Li, Daniel TenbrinckGraph Signal ProcessingDiffusion Model Inference Acceleration

    Department of Data Science Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen, Germany

  4. 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)

  5. From Graphs to Feeders: Constraint-Guided Diffusion for Rule-Compliant Feeder Generation

    Sep 24, 2026Yu Qin, Andrew Glaws, Aadil Latif +1Constrained Generative ModelingDiffusion Models

    National Laboratory of the Rockies, Golden, Colorado, USA

  6. ProtoGuide: Prototype-Driven Guidance for Class-Conditional Graph Generation

    Sep 14, 2026Salvatore Romano, Marco Grassia, Pietro Liò +1Graph GenerationDiffusion Guidance

    Department of Electrical, Electronic and Computer Engineering, University of Catania, Italy · Department of Computer Science and Technology, University of Cambridge, UK · University Campus Bio-Medico of Rome, Italy

  7. Generation of High-Level Concepts in 3D Scene Graphs via Autoregressive Diffusion

    Aug 28, 2026Jose Andres Millan-Romera, Samuel Cognolato, Holger Voos +23D SGGAutoregressive Generation

    Automation and Robotics Research Group, SnT University of Luxembourg, Luxembourg · University of Padova, Padova, Italy · Fondazione Bruno Kessler, Trento, Italy +1

  8. Faithful, Sufficient and Understandable: Rethinking Graph Counterfactual Explanations via Discrete Diffusion Inversion

    Aug 12, 2026David Bechtoldt, Sidney BenderCounterfactual EvaluationCounterfactual Explanations

    Machine Learning Group, TU Berlin, 10587 Berlin, Germany · BIFOLD–Berlin Institute for the Foundations of Learning and Data, Berlin, Germany

  9. ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation

    Aug 12, 2026Duy-Dong Nguyen, Le-Van Thai, Hoai Nhan Pham +3Histopathology Image SegmentationWeakly Supervised Semantic Segmentation

    AI VIETNAM Lab, Vietnam · Department of Mechanical System Engineering, Jeonbuk National University, Republic of Korea · Washington University School of Medicine, Saint Louis, MO, USA +1

  10. HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks

    Jul 28, 2026Phan Binh Nguyen Lam, Nguyen Thai AnhGraph Neural NetworksConformal Prediction

    Faculty of Information Technology, University of Science, Vietnam National University, Ho Chi Minh City, Vietnam · Faculty of Information Technology, Van Lang School of Technology, Van Lang University, Ho Chi Minh City, Vietnam

  11. MotifRole-Diff: Risk-Optimal Role-Aware Corruption for Masked Molecular Graph Diffusion

    Jul 20, 2026Tasfia Nuzhat Ornee, Elias Hossain, Ivan Garibay +1Masked Diffusion ModelsMolecular Graph Generation

    University of Central Florida

  12. From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks

    Jul 17, 2026Zhiheng Zhou, Mengyao Zhou, Yancheng Chen +3Hypergraph Neural NetworksHypergraph Learning

    School of Mathematics and Statistics, Shandong University, Weihai, Shandong 264209, China · Academy of Mathematics and Systems Science, Chinese Academy of Sciences and also with the University of Chinese Academy of Sciences, Beijing 100190, China

  13. MGDT: MLLM-Guided Diffusion Transformer with Relation-Adaptive Mixture-of-Experts for Multimodal Knowledge Graph Completion

    Jul 17, 2026Xu Hou, Meiyu Liang, Wei Huang +6Multimodal KGsKG Completion

    Beijing University of Posts and Telecommunications · School of Computer Science, Beijing University of Posts and Telecommunications · Zhejiang University +3

  14. DAPGNet: Dynamic Adaptive Physics-Guided Graph Diffusion Network for Hyperspectral Image Classification

    Jul 16, 2026Pengkun Wang, Weijia Cao, Ning Wang +1Graph Structure LearningHyperspectral Imaging

    National Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China · Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China · Guangzhou University, Guangzhou 510006, China

  15. Measuring Spatial Clustering via Metropolis-Hastings Diffusion Distance

    Jul 16, 2026Thomas Weighill, Chidinma WilliamsClusteringGraph Diffusion

    Department of Mathematics and Statistics, University of North Carolina at Greensboro, Greensboro, NC 27402

  16. DiPhon: Diffusion on Graphons for Scalable Graph Generation

    Jul 8, 2026Sergio Rozada, Yiming Qin, Manuel Madeira +2Graph GenerationGraph Diffusion

    King Juan Carlos University · EPFL, Lausanne, Switzerland · University of Pennsylvania

  17. Generative Diffusion Models of Stochastic Graph Signals

    Jul 7, 2026Yiğit Berkay Uslu, Samar Hadou, Sergio Rozada +2Graph Neural NetworksFinancial Forecasting

    Dept. of Electrical and Systems Eng., University of Pennsylvania, Philadelphia, PA 19104 USA · Department of Signal Processing and Communications, King Juan Carlos University, Madrid, Spain

  18. Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion

    Jul 7, 2026Shervin Khalafi, Igor Krawczuk, Sergio Rozada +3Graph Attention NetworksGraph Transformer

    University of Pennsylvania · King Juan Carlos University · Stanford University

  19. Curvature-Guided Sheaf Diffusion for Unsupervised Community Detection on Heterophilic Graphs

    Jun 29, 2026Feifan WangGraph Representation LearningGraph Clustering

    School of Artificial Intelligence Xiamen Institute of Technology No. 1251, Sunban South Road, Jimei District Xiamen, Fujian 361021, China

  20. PCGD: Physics-Guided Conditional Graph Diffusion for TCAD Device Simulation

    Jun 28, 2026Yihan Zhang, Zhiteng Zhang, Kun Chen +1PDE Surrogate ModelingPhysics-Informed ML

  21. Connectivity Estimation using Stochastic Graph Heat Modelling

    Jun 27, 2026Stephan Goerttler, Min Wu, Fei HeGraph Structure LearningNeuroimaging

    Centre for Computational Science and Mathematical Modelling, Coventry University, Coventry CV1 5FB, UK · Institute for Infocomm Research, A*STAR, Singapore

  22. AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network

    Jun 17, 2026Bolin Shen, Ziwei Huang, Zhiguang Cao +1Traveling Salesperson ProblemGraph Neural Networks

    Florida State University · Tallahassee, United States · Singapore Management University +1

  23. Enhanced Graph Neural Networks using K-Hop Gaussian Diffusion

    Jun 16, 2026Xuling Zhang, Peng Wang, Daiyan Li +3Graph Neural NetworksGraph Diffusion

    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China · Southern University of Science and Technology, Shenzhen, China

  24. Geometrical fairness in graph neural networks

    Jun 16, 2026Arturo Pérez-Peralta, Sandra Benítez-Peña, Blas Kolic +1Graph Neural NetworksGraph Representation Learning

    Department of Statistics, University Carlos III of Madrid, Spain · uc3m-Santander Big Data Institute

  25. Graph Diffusion Residuals for Control-Function Instrumental Variables

    Jun 12, 2026Rui Wu, Zongyuan Chen, Hong Xie +2Causal Effect EstimationInstrumental Variable Estimation

    School of Computer Science and Engineering University of Science and Technology of China

  26. Net-Ev2^2: A Generative Simulator for Network Event Evolution

    Jun 10, 2026Guangyu Wang, Zhaonan WangIntelligent Transportation SystemsSynthetic Benchmark Generation

    NYU Shanghai Shanghai, China · NYU Shanghai Center for Data Science Shanghai Key Laboratory of Urban Design and Urban Science

  27. Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification

    Jun 2, 2026Jaeyoon Sim, Minjae Lee, Guorong Wu +1Graph Neural NetworksAlzheimer's Disease Classification

    Pohang University of Science and Technology, Pohang, South Korea · University of North Carolina at Chapel Hill, Chapel Hill, USA

  28. Structure-Guided Adaptive Propagation for Protein-Protein Interaction Site Prediction

    Jun 1, 2026Enqiang Zhu, Yizi Liu, Yilong Luo +3Protein-Protein Interaction PredictionGraph Diffusion

    Institute of Computing Science and Technology, Guangzhou University, Guangzhou 510006, Guangdong, China · School of Computer Science, Peking University, Beijing 100871, China · Information Science & Technology Department, Beijing Capital International Airport Co., Ltd., Beijing 101317, China +1

  29. Learning manifold diffusion semigroups from graph transition matrices

    May 25, 2026Xiuyuan Cheng, Nan WuManifold LearningGraph Diffusion

    Department of Mathematics, Duke University · Department of Mathematical Sciences, The University of Texas at Dallas

  30. Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation

    May 24, 2026Zichao Yue, Zhiru ZhangGraph Neural NetworksGraph Diffusion

    School of Electrical and Computer Engineering, Cornell University, Ithaca, New York, USA.