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

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Period ending 2026-09-07

12 new papers

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422 papers

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  1. On Preserving Geometrical Invariance for Superpixel Image Classification using Graph Transformer

    Jul 5, 2026Sarabeshwar Balaji, Shubham Mohanty, Akash AnilImage ClassificationVision Transformer

  2. Target-Aware Interaction-Guided Reinforcement Learning for Black-Box Node Injection Attacks on Graph Neural Networks

    Jul 5, 2026Yi Lan, Ye YuanGraph Neural NetworksGraph Representation Learning

  3. Layout-independent actuation allocator for fin-actuated marine robots

    Jul 3, 2026Yuya Hamamatsu, Maarja Kruusmaa, Asko RistolainenRobot SystemsGraph Neural Networks

  4. Graph Neural Networks for the Graphical Bootstrap

    Jul 3, 2026Rigers Aliaj, Gabriele Dian, Reza Doobary +1Graph Neural NetworksNeural Network

  5. Heterogeneous Graph Condensation via Role-Aware Clustering

    Jul 3, 2026Fuyan Ou, Yulin Hu, Ye YuanGraph Neural Networks

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

    Jul 3, 2026Long Zhao, Shixun Ji, Bin Cheng +1Internet Of ThingIntrusion Detection

  7. Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks

    Jul 2, 2026Silviu S. Craciunas, Christian Hakert, Jian-Jia Chen +2Constraint-Aware SynthesisGraph Neural Networks

  8. Spatial Support Matters: Geometry-Aware Graph Fusion for Rainfall Field Reconstruction

    Jul 2, 2026Low Jun Yu, Niramay Kachhadiya, Herath Mudiyanselage Viraj Vidura Herath +2PrecipitationTemporal Fusion Transformer

  9. Robust and Explainable 3D Mode Shape Recognition Using Region-Aware Graph Neural Networks

    Jul 1, 2026Tong Duy Son, Marc Brughmans, Andrey Hense +4Finite Element MethodGraph Neural Networks

  10. Scaling Weisfeiler-Leman Expressiveness Analysis to Massive Graphs with GPUs

    Jul 1, 2026Filippo Biondi, Mirco Tribastone, Max TschaikowskiGraph Neural NetworksGraph Representations

  11. Multi-Label Node Classification with Label Influence Propagation

    Jul 1, 2026Yifei Sun, Zemin Liu, Bryan Hooi +4Graph Neural NetworksComplex Networks

  12. Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition

    Jul 1, 2026Wenting Ma, Zhipeng Zhang, Xiaohang Yuan +6Pediatric-Adult Electrocardiogram AlignmentTemporal Graph Neural Networks

  13. PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning

    Jun 29, 2026Zhifei Hu, Alexandra I. CristeaText-Attributed GraphGnn-Based Detectors

  14. T3R: Deeper Test-Time Adaptation for Graph Neural Networks via Gradient Rotation

    Jun 29, 2026Huy Truong, Alexander Lazovik, Victoria DegelerStable Test-Time AdaptationGraph Neural Networks

  15. GLIP: Graph and LLM Joint Pretraining for Graph-Level Tasks

    Jun 29, 2026Haoxin Sun, Yiqing Lin, Yajun Huang +3Graph Neural NetworksGraph-Llm Joint

  16. Rethinking Generative Reconstruction Attacks against Graph Neural Network Models

    Jun 29, 2026Adebayo Keji, Sayanton DibboGraph Neural NetworksGraph Representation Learning

  17. Optimizing Expert-Designed Crystal Graph Networks for Band-Gap Prediction with an Autonomous LLM Research Loop

    Jun 29, 2026Chenmu Zhang, Boris I. YakobsonCrystalMle-Bench Lite

  18. Blackknife: Hard-Label Query-Limited Black-Box Attacks on Heterogeneous Graph Neural Networks

    Jun 28, 2026Honglin Gao, Junhao Ren, Lan Zhao +3Graph Neural NetworksTransformation-Based Attacks

  19. Towards Improved Anomaly Detection for Cloud Cybersecurity via Graph Neural Networks

    Jun 27, 2026Manu Nandan, TJ Jaymes, Michael Brautbar +1Anomaly DetectionCybersecurity

  20. Graph Neural Networks Applications Across Domains: All Insights You Need

    Jun 25, 2026Abderaouf BahiGraph Neural NetworksNeural Network

  21. Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs

    Jun 25, 2026Miguel Jaraiz, Fermin Gutierrez, Pablo Yeste +4Kolmogorov-Arnold NetworksAerodynamics

  22. TGHE: Template-based Graph Homomorphic Encryption for Privacy-Preserving GNN Inference in Edge-Cloud Systems

    Jun 25, 2026Ngoc Bao Anh Le, Thai T. Vu, John Le +2Homomorphic EncryptionGraph Neural Networks

  23. Zero-Shot Size Transfer for Neural ODEs on Sparse Random Graphs: Graphon Limits and Adjoint Convergence

    Jun 25, 2026Mingsong Yan, Zhida Wang, Sui TangNeural Ordinary Differential EquationsGraph Neural Networks

  24. A General Framework for Learning Algebraic Properties from Cayley Graphs using Graph Neural Networks

    Jun 24, 2026Tal WeissblatFinite GroupsGraph Neural Networks

  25. Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need

    Jun 24, 2026Nathan Painchaud, Tristan Habémont, Morgane des Ligneris +6Cardiometabolic RiskCoronary Angiography

  26. Leaking Circuit Secrets: Gradient Leakage Attacks on Graph Neural Networks

    Jun 24, 2026Rupesh Raj Karn, Johann Knechtel, Ozgur SinanogluGraph Neural NetworksLeakage

  27. A Fair Evaluation of Graph Foundation Models for Node Property Prediction

    Jun 23, 2026Oleg Platonov, Gleb Bazhenov, Dmitry Eremeev +1Graph Foundation ModelGraph Neural Networks

  28. Auto-Configured Explainable Graph Neural Networks for Multi-Site Pollution Prediction

    Jun 23, 2026Abdelkader Dairi, Fouzi Harrou, Ying SunAir PollutionGraph Neural Networks

  29. Convex--Concave Quadratic Spectral Filtering for Graph Neural Networks

    Jun 23, 2026Ranhui Yan, Jia Cai, Mengzhu Chen +1Graph Neural NetworksGnn-Based Detectors

  30. A Spectral Theory of Normalized Corrected GNN Propagation

    Jun 22, 2026Qihan Chen, Wei Li, Meng Qin +1Graph Neural NetworksPropagation

  31. TaLK: Text-attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel

    Jun 22, 2026Yeongho Kim, Yeonje Choi, Kijung ShinText-Attributed GraphGraph Neural Networks

  32. Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation

    Jun 21, 2026Junshu Sun, Wanxing Chang, Qingming Huang +1Graph Neural NetworksGraph Representations

  33. Multigrid Training for Molecular Generation using Graph Neural Networks

    Jun 21, 2026Zixuan Ling, Paula Mercurio, Di LiuMolecular GenerationVariational Autoencoder

  34. Early-Exit Graph Neural Networks for Link Prediction

    Jun 20, 2026Roman Knyazhitskiy, Andrea Giuseppe Di FrancescoZero-Shot Link PredictionGraph Neural Networks

  35. A Completion-Aware Framework for Impactful Counterfactual Explainability in Graph Neural Networks

    Jun 20, 2026Maria Myrto Villia, Filippos Gouidis, Theodore Patkos +1Counterfactual ExplanationGraph Neural Networks

  36. Ramanujan Graph Rewiring with Non Negative Resistance Curvature

    Jun 19, 2026Hugo Attali, Rachid El JouhriGraph Neural NetworksCurvature

  37. A Gated Graph Neural Network Approach to Fast-Convergent Dynamic Average Estimation

    Jun 18, 2026Antonio Marino, Claudio Pacchierotti, Paolo Robuffo GiordanoMulti-Agent SystemsGraph Neural Networks

  38. Hierarchical Pooling for Sheaf Neural Networks

    Jun 18, 2026Dionisia Naddeo, Carlo Abate, Pietro Liò +2SheafGraph Neural Networks

  39. Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels

    Jun 18, 2026Yuecheng Cai, Jasmin JelovicaFinite Element MethodGraph Neural Networks

  40. MMGNN: Multi-level, multi-color graph neural networks for molecular property prediction

    Jun 18, 2026Trung Nguyen, Duc Duy NguyenMolecular Property PredictionMolecular Structure Elucidation

  41. Enhancing Graph Neural Networks Using Proximity Graphs for Dust Source Emission Forecasting

    Jun 18, 2026Maryam Sanisales, Zahed Rahmati, Ali Darvishi Boloorani +1Graph Neural NetworksAir Pollution

  42. CIExplainer++: Generating Causal and Interpretable Explanations for Graph Neural Networks

    Jun 17, 2026Francisco Caldas, Sahil Satish Kumar, Ruben Belo +1Explainable Artificial IntelligenceCausal Graph

  43. SEAGAN: domain-Specific and Edge-Aware Graph Attention Network for Dynamic Plant Processes

    Jun 17, 2026Antriksh Srivastava, Soumyashree KarGraph Neural NetworksHeterogeneous Graph Transformers

  44. Acceleration of an algebraic multigrid pressure solver using graph neural networks

    Jun 17, 2026Eric Chillón, Artur K. Lidtke, Nguyen Anh Khoa Doan +1Shallow Water EquationsGraph Neural Networks

  45. Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening

    Jun 17, 2026Kasper Helverskov Petersen, François R J Cornet, Martin Ovesen +3Graph Neural NetworksSpectra

  46. GrapNet: A Programmable Dynamic-Architecture Neural Graph Substrate

    Jun 17, 2026Zirong LiGraph Neural NetworksMnist

  47. TMR-GGNN: Credit Card Fraud Detection based on Time-Aware Multi-Relational Guided Graph Neural Network

    Jun 16, 2026Rohit Tewari, Shubhankar Shilpi, Navin Chhibber +3Fraud DetectionGnn-Based Detectors

  48. Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networks

    Jun 16, 2026Ophélia Miralles, Máté Mile, Christoffer Artturi +2PrecipitationRadar

  49. Structural Preservation and the Logical Expressiveness of Graph Neural Networks

    Jun 16, 2026Przemysław Andrzej Wałęga, Bernardo Cuenca GrauGraph Neural NetworksModal Logic

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

    Jun 16, 2026Xuling Zhang, Peng Wang, Daiyan Li +3Graph Neural NetworksMessage Passing Neural Networks

  51. Geometrical fairness in graph neural networks

    Jun 16, 2026Arturo Pérez-Peralta, Sandra Benítez-Peña, Blas Kolic +1Fairness-Aware LearningGraph Neural Networks

  52. LLM Features Can Hurt GNNs: Concatenation Interference on Homophilous Graph Benchmarks

    Jun 16, 2026Zhongyuan Wang, Pratyusha VemuriGraph Neural NetworksInterference

  53. Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation

    Jun 16, 2026Marina Chagas Bulach Gapski, Vinicius Atsushi Sato Kawai, Gustavo Rosseto Leticio +3Feature ExtractionGraph Neural Networks

  54. Finsler Geometry, Graph Neural Networks, and You

    Jun 15, 2026T. Mitchell Roddenberry, Richard G. BaraniukGraph LaplaciansGraph Neural Networks

  55. Graph neural networks at war: integrating cybersecurity and drone intelligence in the Israeli-Iranian conflict

    Jun 15, 2026Sozan Sulaiman Maghdid, Tarik Ahmed Rashid, Shavan AskarCyber-Physical SystemGraph Neural Networks

  56. Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection

    Jun 15, 2026Jianli Dai, Guangwei Wu, Jiacheng Li +3Intrusion DetectionTemporal Graph Neural Networks

  57. Continuous Cross-Domain Traffic State Prediction via Memory-Augmented Graph Liquid Time-Constant Networks

    Jun 14, 2026Jinrong Xiang, Ming XuAccurate Traffic ForecastingGraph Neural Networks

  58. A Comparative Study of Graph Neural Network Layer Selection for Interaction Modelling in Driving Trajectory Prediction

    Jun 12, 2026George Daoud, Mohamed El-DariebyTemporal Graph Neural NetworksTrajectory Prediction

  59. When the Tool Decides: LLM Agents Defer Blindly to Graph Neural Network Tools, and Stronger Backbones Defer More

    Jun 12, 2026Zhongyuan Wang, Pratyusha VemuriPersonalized Large Language Model AgentsGraph Neural Networks

  60. PostDeg: Placement Beats Parameterization in LayerNorm GNNs

    Jun 12, 2026Yash Tomar, Aryav DasBatch NormalizationGraph Neural Networks