Graph Neural Networks

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Period ending 2026-09-21

38 new papers

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Period ending 2026-09-14

19 new papers

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

Period ending 2026-09-07

22 new papers

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

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  1. Federated Semi-Supervised Graph Neural Networks with Prototype-Guided Pseudo-Labeling for Privacy-Preserving Gestational Diabetes Mellitus Prediction

    May 3, 2026G. Victor Daniela, A. Mallikarjuna Reddya, Uday Kumar Addankia +2Federated Graph LearningGnn-Based Detectors

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

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

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

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

  4. GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning

    May 2, 2026Chuang Liu, Zelin Yao, Xueqi Ma +4Graph Representation LearningGeometry-Aware Uncertainty Coresets

  5. 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

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

    May 1, 2026Sanjukta KrishnagopalGraph Neural NetworksSparsity

  7. New Bounds for Zarankiewicz Numbers via Reinforced LLM Evolutionary Search

    May 1, 2026Jay Bhan, Nicole Nobili, Patrick LangerGraph TheoryEvolutionary Search

  8. Topological Neural Tangent Kernel

    May 1, 2026Sanjukta KrishnagopalGraph Neural NetworksNeural Tangent Kernel

  9. Empowering Heterogeneous Graph Foundation Models via Decoupled Relation Alignment

    May 1, 2026Ziyu Zheng, Yaming Yang, Zhe Wang +2Graph Foundation ModelDistribution Shifts

  10. Aitchison Embeddings for Learning Compositional Graph Representations

    May 1, 2026Nikolaos Nakis, Chrysoula Kosma, Panagiotis Promponas +2Graph Representation LearningRepresentation Learning

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

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

  12. Towards Robust and Scalable Density-based Clustering via Graph Propagation

    May 1, 2026Yingtao Zheng, Hugo Phibbs, Ninh PhamImage ClusteringGraph Representation Learning

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

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

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

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

  15. Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models

    May 1, 2026Jiaxin Qi, Hang Li, Yan Cui +2Gene-Regulatory NetworksSingle-Cell Rna Sequencing

  16. Information-geometric adaptive sampling for graph diffusion

    Apr 30, 2026Yuhui Lu, Wenjing Liu, Kun ZhanDiffusion SamplingAdaptive Sampling

  17. RouteProfile: Graph-Based Profiling for Cold-Start LLM Routing

    Apr 30, 2026Jingjun Xu, Hongji Pu, Tao Feng +3Large Language Model RoutingProfiling

  18. LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis

    Apr 30, 2026Lincan Li, Zheng Chen, Yushun DongInterictal Epileptiform DischargesGraph Representation Learning

  19. A Unified Framework of Hyperbolic Graph Representation Learning Methods

    Apr 30, 2026Sofía Pérez Casulo, Marcelo Fiori, Bernardo Marenco +1Hyperbolic LearningHypergraphs

  20. Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing

    Apr 30, 2026Max LovigDescentModel Training

  21. ObjectGraph: From Document Injection to Knowledge Traversal -- A Native File Format for the Agentic Era

    Apr 30, 2026Mohit Dubey, Open GiganticLarge Language Model AgentsGraph Representations

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

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

  23. Toward Scalable SDN for LEO Mega-Constellations: A Graph Learning Approach

    Apr 30, 2026Sivaram Krishnan, Bassel Al Homssi, Zhouyou Gu +3SatelliteMobile Networks

  24. Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion

    Apr 30, 2026Yonghao Liu, Jialu Sun, Wei Pang +4Graph Representation LearningFew-Shot Learning

  25. From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking

    Apr 30, 2026Yilun Zhu, Nikhita Vedula, Shervin MalmasiProductsReranking

  26. Robust Learning on Heterogeneous Graphs with Heterophily: A Graph Structure Learning Approach

    Apr 30, 2026Yihan Zhang, Ercan E. KuruogluGraph Representation LearningText-Attributed Graph

  27. 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

  28. Unifying biomedical knowledge in a modern multimodal graph

    Apr 29, 2026Lucas Vittor, Ayush Noori, Iñaki Arango +5Biomedical Knowledge GraphBiomedical Knowledge

  29. Context-Aware Graph Attention for Unsupervised Telco Anomaly Detection

    Apr 29, 2026Sara Malacarne, Eirik Hoel-Høiseth, Erlend Aune +2Anomaly DetectionHeterogeneous Graph Transformers

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

    Apr 29, 2026Branislav Kveton, Michal Valko, Ali Rahimi +1Semi-Supervised LearningSupport Vector Machines

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

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

  32. Graph Construction and Matching for Imperative Programs using Neural and Structural Methods

    Apr 29, 2026Arshad Beg, Diarmuid O'Donoghue, Rosemary MonahanGraph RepresentationsMock-Interface Synthesis

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

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

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

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

  35. STLGT: A Scalable Trace-Based Linear Graph Transformer for Tail Latency Prediction in Microservices

    Apr 29, 2026Yongliang Ding, Qigong Bi, Peng PuTemporal Graph Neural NetworksLow-Latency Systems

  36. Cheeger--Hodge Contrastive Learning for Structurally Robust Graph Representation Learning

    Apr 29, 2026Mengyang Zhao, Longlong Li, Cunquan QuGraph Representation LearningContrastive Learning

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

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

  38. Momentum-Conserving Graph Neural Networks for Deformable Objects

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

  39. 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

  40. Mini-Batch Class Composition Bias in Link Prediction

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

  41. 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

  42. On Halting vs Converging in Recurrent Graph Neural Networks

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

  43. 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

  44. 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

  45. Spectral bandits

    Apr 28, 2026Tomáš Kocák, Rémi Munos, Branislav Kveton +2Multi-Armed BanditsBandits

  46. Online learning with Erdős-Rényi side-observation graphs

    Apr 28, 2026Tomáš Kocák, Gergely Neu, Michal ValkoBanditsOptimal Sample Complexity

  47. Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning

    Apr 27, 2026Xiaoyi Wang, Zhiqiang Wang, Jianqing Liang +4Graph Representation LearningNeural Ordinary Differential Equations

  48. CMGL: Confidence-guided Multi-omics Graph Learning for Cancer Subtype Classification

    Apr 27, 2026Boyang Fan, Hengchuang Yin, Siyu Yi +5Multi-Omic FrameworkNon-Small Cell Lung Cancer

  49. Psychologically-Grounded Graph Modeling for Interpretable Depression Detection

    Apr 27, 2026Rishitej Reddy Vyalla, Kritarth Prasad, Avinash Anand +4Depression DetectionHeterogeneous Graph Transformers

  50. Coverage-Based Calibration for Post-Training Quantization via Weighted Set Cover over Outlier Channels

    Apr 27, 2026Ibne Farabi Shihab, Sanjeda Akter, Anuj SharmaWeight-Only QuantizationQuantization

  51. Graph Memory Transformer (GMT)

    Apr 26, 2026Nicola Zanarini, Niccolò Ferrari, Evelina LammaTransformer EncoderHeterogeneous Graph Transformers

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

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

  53. Characterizing Admissible Objective Functions for Hierarchical Clustering

    Apr 26, 2026Ryuki Tsukuba, Kazutoshi AndoImage ClusteringObjective Functions

  54. 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

  55. Path-Based Gradient Boosting for Graph-Level Prediction

    Apr 26, 2026Claudio Meggio, Johan Pensar, Riccardo De BinGraph Representation LearningGradient Boosted Tree

  56. High-dimensional Semi-supervised Classification via the Fermat Distance

    Apr 26, 2026Ruoxu Tan, Yiming ZangSemi-Supervised LearningHigh-Dimensional Data

  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. An Efficient Beam Search Algorithm for Active Perception in Mobile Robotics

    Apr 25, 2026Kaixian Qu, Han Wang, Victor Klemm +2Viewpoint-Dependent Active PerceptionActive Perception

  59. Layer Embedding Deep Fusion Graph Neural Network

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

  60. Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications

    Apr 25, 2026Takaaki Fujita, Florentin SmarandacheGraph TheoryGraph Representations