Graph Neural Networks

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Graph RepresentationsGraph Representation LearningHeterogeneous Graph TransformersGraph Foundation ModelMaximum Independent SetText-Attributed GraphMessage Passing Neural NetworksSubgraphs

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Period ending 2026-09-21

10 new papers

A weekly snapshot of new work published in Graph Neural Networks.

Period ending 2026-09-14

10 new papers

A weekly snapshot of new work published in Graph Neural Networks.

Period ending 2026-09-07

12 new papers

A weekly snapshot of new work published in Graph Neural Networks.

422 papers

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  1. Attention-based graph neural networks: a survey

    May 9, 2026Chengcheng Sun, Chenhao Li, Xiang Lin +4Graph Neural NetworksHeterogeneous Graph Transformers

  2. Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation

    May 8, 2026Md Sazzad Hossen, Avimanyu SahooGraph Neural NetworksMulti-View

  3. Multi-Level Graph Attention Network Contrastive Learning for Knowledge-Aware Recommendation

    May 8, 2026Zhifei Hu, Feng XiaKnowledge Graph EmbeddingsGraph Neural Networks

  4. GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs

    May 8, 2026Peyman Baghershahi, Fangxin Wang, Debmalya Mandal +1Graph Neural NetworksConformal Prediction

  5. PhySPRING: Structure-Preserving Reduction of Physics-Informed Twins via GNN

    May 8, 2026Yixiong Jing, Xingyuan Chen, Guangming Wang +3Digital TwinsPhysics Simulation

  6. GNN for Structural Displacement Prediction

    May 8, 2026Hung-Fu Chang, Tzu-Kang Lin, Yung-Li ChengStructural Health MonitoringFinite Element Method

  7. Why Self-Inconsistency Arises in GNN Explanations and How to Exploit It

    May 8, 2026Wenxin Tai, Yaqian Liu, Ting Zhong +1Graph Neural NetworksExplainability

  8. Graph Computation Meets Circuit Algebra: A Task-Aligned Analysis of Graph Neural Networks for Electronic Design Automation

    May 8, 2026Hyunmog KimElectronic Design AutomationGnn-Based Detectors

  9. Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors

    May 8, 2026Fan Yang, Binyan Xu, Di Tang +1Backdoor AttacksGnn-Based Detectors

  10. Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks

    May 8, 2026Hao Chen, Chendi Qian, Christopher Morris +2Semidefinite ProgrammingMaximum Independent Set

  11. Target-Aware Data Augmentation for SAT Prediction

    May 7, 2026Eshed Gal, Uri Ascher, Eldad HaberSatisfiabilityNp-Hard

  12. Generalising Travel Time Prediction To Varying Route Choices In Urban Networks

    May 7, 2026Łukasz Gorczyca, Kacper Drozd, Michał Bujak +1Accurate Traffic ForecastingTravel Time

  13. From Model to Data (M2D): Shifting Complexity from GNNs to Graphs for Transparent Graph Learning

    May 7, 2026Debolina Halder Lina, Arlei SilvaExplainabilityGraph Neural Networks

  14. Towards Metric-Faithful Neural Graph Matching

    May 7, 2026Jyotirmaya Shivottam, Subhankar MishraGraph Neural Networks3D Encoder

  15. On the Safety of Graph Representation Learning

    May 7, 2026Xiaoguang Guo, Zehong Wang, Ziming Li +5Graph Representation LearningGraph Neural Networks

  16. Invariant-Based Diagnostics for Graph Benchmarks

    May 7, 2026Richard von Moos, Mathieu Alain, Bastian RieckGraph Foundation ModelGraph Neural Networks

  17. Federated Cross-Client Subgraph Pattern Detection

    May 7, 2026Selin Ceydeli, Rui Wang, Kubilay AtasuFederated Graph LearningSubgraphs

  18. The Role of Node Features in Graph Pooling

    May 7, 2026Jan von Pichowski, Alžbeta Hrabošová, Ingo Scholtes +1Graph Neural NetworksComplex Networks

  19. Full-Spectrum Graph Neural Networks: Expressive and Scalable

    May 7, 2026Xiaohan Wang, Deyu Bo, Longlong Li +1Graph Neural NetworksConvolutional

  20. Adversarial Graph Neural Network Benchmarks: Towards Practical and Fair Evaluation

    May 7, 2026Tran Gia Bao Ngo, Zulfikar Alom, Federico Errica +2Graph Neural Networks

  21. A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks

    May 6, 2026Othmane Kabal, Mounira Harzallah, Fabrice Guillet +2Graph Neural NetworksKnowledge Graphs

  22. COPYCOP: Ownership Verification for Graph Neural Networks

    May 6, 2026Rahul Nandakumar, Deepayan ChakrabartiGraph Neural NetworksWatermarking

  23. Quantile-Free Uncertainty Quantification in Graph Neural Networks

    May 6, 2026Soyoung park, Hwanjun Song, Sungsu LimReliable Uncertainty QuantificationGraph Neural Networks

  24. Unsat Core Prediction through Polarity-Aware Representation Learning over Clause-Literal Hypergraphs

    May 6, 2026Zhenchao Sun, Shuai Ma, Ping Lu +1SatisfiabilityHypergraphs

  25. GraphPI: Efficient Protein Inference with Graph Neural Networks

    May 6, 2026Zheng Ma, Jiazhen Chen, Lei Xin +1Protein Data BankProtein

  26. Magic-Informed Quantum Architecture Search

    May 5, 2026Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis +1Quantum AdvantageMany-Body Physics

  27. Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories

    May 5, 2026Ali Rayat, Gia-Wei ChernEffective Field TheoryGraph Neural Networks

  28. Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction

    May 5, 2026Filip Kronström, Alexander H. Gower, Daniel Brunnsåker +2Graph Neural NetworksKnowledge Graphs

  29. Graph Reconstruction from Differentially Private GNN Explanations

    May 5, 2026Rishi Raj Sahoo, Jyotirmaya Shivottam, Subhankar MishraDifferential PrivacyGraph Neural Networks

  30. GRAFT: Auditing Graph Neural Networks via Global Feature Attribution

    May 5, 2026Rishi Raj Sahoo, Subhankar MishraGraph Neural NetworksSubgraphs

  31. DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation

    May 4, 2026Danil Tokhchukov, Veronika Morozova, Gonzalo FerrerSimultaneous Localization And MappingSocial Robot Navigation

  32. Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions

    May 4, 2026Sergio Orozco, Tushar Kusnur, Brandon May +2Rigid ObjectsExact Equivariance

  33. SCGNN: Semantic Consistency enhanced Graph Neural Network Guided by Granular-ball Computing

    May 4, 2026Genhao Tian, Taihua Xu, Shuyin Xia +3Graph Neural NetworksGranular-Ball Computing

  34. Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems

    May 2, 2026Aadarsh Senapati, Neha Kujur, Vivek YelletiHeterogeneous Graph TransformersCollaborative Filtering

  35. Rethinking Multi-Label Node Classification: Do Tuned Classic GNNs Suffice?

    May 2, 2026Yuxuan Xiao, Shengzhong ZhangGraph Neural NetworksMulti-Label Classification

  36. Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach

    May 2, 2026Changpeng He, Yang Lu, Wei Chen +3Reconfigurable Intelligent SurfacesBeamforming

  37. Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks

    May 1, 2026Sanjukta KrishnagopalGraph Neural NetworksSparsity

  38. Topological Neural Tangent Kernel

    May 1, 2026Sanjukta KrishnagopalGraph Neural NetworksNeural Tangent Kernel

  39. Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey

    May 1, 2026Hugo Attali, Nathalie Pernelle, Davide Buscaldi +1Graph Neural NetworksSmoothing

  40. Advancing Edge Classification through High-Dimensional Causal Modeling of Node-Edge Interplay

    May 1, 2026Duanyu Feng, Li Ding, Hongru Liang +1Graph Neural NetworksEdge

  41. An ALE-Consistent Graph Neural Operator-Transformer Framework for Fluid-Structure Interaction

    May 1, 2026Shihang Zhao, Martín Saravia, Haokui Jiang +2Fluid DynamicsLagrangian Methods

  42. On the Expressive Power of GNNs to Solve Linear SDPs

    Apr 30, 2026Chendi Qian, Christopher MorrisSemidefinite ProgrammingGraph Neural Networks

  43. TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks

    Apr 30, 2026Ta-Yang Wang, Rajgopal Kannan, Viktor PrasannaText-Attributed GraphGraph Neural Networks

  44. Learning from the Unseen: Generative Data Augmentation for Geometric-Semantic Accident Anticipation

    Apr 29, 2026Yanchen Guan, Haicheng Liao, Chengyue Wang +4Naturalistic Driving DataAutonomous Driving

  45. LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models

    Apr 29, 2026Seongmin Kim, Daegyu LeeLarge Language Model PlanningClassical Planning

  46. ModTGCN: Modularity-aware Graph Neural Networks for Text Classification

    Apr 29, 2026Rajarshi Misra, Aditya Sharma, Vinti Agarwal +1Graph Foundation ModelGraph Neural Networks

  47. Unsupervised Graph Modeling for Anomaly Detection in Accounting Subject Relationships

    Apr 29, 2026Yuhan Wang, Ruobing Yan, Zhe Su +3Generalist Graph Anomaly DetectionAnomaly Score

  48. Momentum-Conserving Graph Neural Networks for Deformable Objects

    Apr 28, 2026Jiahong Wang, Logan Numerow, Stelian Coros +3Graph Neural NetworksDeformable Objects

  49. Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane

    Apr 28, 2026Pahal D. Patel, Sanmay GangulyExplainabilityExplainable Artificial Intelligence

  50. Mini-Batch Class Composition Bias in Link Prediction

    Apr 28, 2026Kieran Maguire, Srinandan DasmahapatraGraph Neural NetworksComplex Networks

  51. PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection

    Apr 28, 2026Mohamed Taoufik Kaouthar El Idrissi, Edward Zulkoski, Mohammad HamdaqaVulnerability Detection & RepairGnn-Based Detectors

  52. On Halting vs Converging in Recurrent Graph Neural Networks

    Apr 28, 2026Jeroen Bollen, Stijn VansummerenGraph Neural NetworksRectified Linear Unit Networks

  53. GraphPL: Leveraging GNN for Efficient and Robust Modalities Imputation in Patchwork Learning

    Apr 28, 2026Xingjian Hu, Zuoyu Yan, Jianhua Zhu +3Robust Multimodal LearningFederated Graph Learning

  54. A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication

    Apr 28, 2026Valentin Cuzin-Rambaud, Laetitia Matignon, Maxime MorgeMulti-Agent Reinforcement LearningGnn-Based Detectors

  55. Crystal Fractional Graph Neural Network for Energy Prediction of High-Entropy Alloys

    Apr 26, 2026Takanori Kotama, Yang HuangFirst-Principles CalculationCrystal

  56. Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data

    Apr 26, 2026Ru Geng, Panayotis Kevrekidis, Yixian Gao +2Graph Neural NetworksLattice

  57. Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States

    Apr 26, 2026Teng Li, Stephen Wu, Yong Huang +2Graph Neural NetworksBayesian

  58. Layer Embedding Deep Fusion Graph Neural Network

    Apr 25, 2026Taihua Xu, Genhao Tian, Jicong Fan +3Graph Neural NetworksGraph Homophily

  59. Towards Understanding the Expressive Power of GNNs with Global Readout

    Apr 23, 2026Maurice Funk, Daumantas KojelisGraph Neural NetworksExpressivity

  60. GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA

    Apr 23, 2026Anvitha Ramachandran, Dhruv Parikh, Viktor PrasannaGraph Neural NetworksSparse Deep Neural Network Accelerators