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

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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. Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels

    Jul 31, 2026Burak Karabulut, Olayiwola Arowolo, Carlo Manna +2Temporal Graph Neural NetworksGraph Neural Networks

  2. Learning Optimal Dynamic Matching via Graph Neural Networks

    Jul 31, 2026Genta Okada, Shunya Noda, Junpei Komiyama +1Bipartite Perfect MatchingsMatching Markets

  3. Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets

    Jul 30, 2026Ali Rayat, Yunhao Fan, Gia-Wei ChernMagnetic Tunnel JunctionStress Fields

  4. Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors

    Jul 30, 2026Neelam Akula, Surbhi Kumar, Murat Kantarcioglu +1Graph Neural NetworksGraph Representations

  5. Graph Neural Multilevel Preconditioners for Iterative Solvers

    Jul 30, 2026Zechen Zhang, Rui Peng Li, Yousef SaadSpectral PreconditioningGraph Neural Networks

  6. Fully Inductive Cardinality Estimation

    Jul 30, 2026Tim Schwabe, Lukas Ketzer, Maribel AcostaCardinalitySparql

  7. Persistent Gaussian Perturbations Prevent Oversmoothing in Recurrent Graph Neural Networks

    Jul 30, 2026Mostafa Haghir ChehreghaniGraph Neural NetworksRecurrent Neural Networks

  8. Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization

    Jul 30, 2026Robert Jankowski, Pedro Almagro-Blanco, Marián Boguñá +2Graph Neural NetworksTransfer Learning

  9. MPP-GNN: Subject-Adaptive Community Detection for fMRI-Based Alzheimer's Disease Classification

    Jul 29, 2026Yang Zhang, Xiao Zhou, Jonathan Warrell +3AlzheimerBrain Magnetic Resonance Imaging

  10. Schreier-Coset Graph Rewiring

    Jul 29, 2026Aryan Mishra, Randy Martinez, Lizhen LinGraph Neural NetworksGraph Theory

  11. Universality and Approximation Rates of Graph Neural Networks with Random Features

    Jul 29, 2026Lukas Gonon, Thilo Meyer-Brandis, Niklas WeberGraph Neural NetworksNeural-Network Approximation

  12. Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts

    Jul 29, 2026Keith G. Mills, Aedan J. DeFrates, Joong Ho KimGraph Neural NetworksMessage Passing Neural Networks

  13. Automorphism-Induced Non-Canonicity in Top-k Explanations of Graph Neural Networks

    Jul 28, 2026Xin Xu, Siru Tao, Kaizhen TanGraph Neural NetworksFinite Groups

  14. Learning the Word Problem: Geodesic Lengths and Cryptographic Applications

    Jul 28, 2026Elisabeth FinkDiffie-HellmanFinite Groups

  15. TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation

    Jul 28, 2026He Ma, Chen LiuLarge-Scale Recommendation SystemsSequential Recommendation

  16. Learned, Relied Upon, or Necessary? Separating Checkpoint Dependence from Task-Level Value in Sheaf GNNs

    Jul 28, 2026Yi LiuGraph Neural NetworksSheaf

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

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

  18. Local-Global Geometric Insights for Graph Neural Networks via Entropic Curvature

    Jul 24, 2026Rachid Caich, Yassine AbbahaddouGraph Neural NetworksCurvature

  19. Efficient Recommendations via Graph Coarsening and Label Propagation

    Jul 24, 2026Alessandro Sbandi, Federico Siciliano, Fabrizio SilvestriGraph Neural NetworksRecommendation

  20. JustDepth: Real-Time Radar-Camera Depth Estimation with Single-Scan LiDAR Supervision

    Jul 24, 2026Wooyung Yun, Dongwook Kim, Soomok LeeDepth EstimationVision-Radar Fusion

  21. LatentFlow: Visual Analytics for Latent Space Analysis in Molecular Graph Neural Networks

    Jul 24, 2026Shiyi Liu, Jiaqing Chen, Nicholas Hadler +6Graph Neural NetworksVast Chemical Space

  22. Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement

    Jul 24, 2026Guoming Li, Jian Yang, Xukun Wang +3Graph Neural NetworksGraph Representations

  23. A Graph-Based Control Interface for Traffic Signals on Heterogeneous Road Networks

    Jul 23, 2026Bertil BraunAdaptive Traffic Signal ControlGraph Neural Networks

  24. Graph Learning on Ensembles of Cyclic Peptides: An Investigation of Molecular Ensemble Modeling

    Jul 23, 2026Aaron Feller, Kris Deibler, Maxim SecorCyclic PeptidesConformational Ensembles

  25. Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls

    Jul 23, 2026Jiancu Chen, Shuyin Xia, Guan Wang +2Graph Neural NetworksExplainability

  26. A Polynomial Architecture-Attribution Co-Design Framework for Exact Aumann-Shapley Attribution in GNNs

    Jul 23, 2026Bizu Feng, Zhimu Yang, Shuming Wang +4Graph Neural NetworksShapley Value

  27. Sequential Learner Modeling Using Multi-Relational Graph Convolutional Networks

    Jul 21, 2026Rawaa Alatrash, Mohamed Amine Chatti, Hong Yang +1Graph Neural NetworksKnowledge Graphs

  28. Parallel Noising in Neural Markov Logic Networks

    Jul 21, 2026Peter Jung, Giuseppe Marra, Ondrej KuzelkaGraph Neural NetworksParallel

  29. GEqTrain: A Configuration-Driven Framework for Retargeting Equivariant Graph Neural Networks Across 3D Scientific Tasks

    Jul 21, 2026Daniele Angioletti, Marco Nobile, Vittorio LimongelliGraph Neural NetworksPhysics-Guided Deep Learning Framework

  30. Graph Neural Network-based Algorithm Selection for the Traveling Salesman Problem: A Systematic Study of Cost and Rank Losses under Distinct Budget Regimes

    Jul 21, 2026Zhaoxuan Li, Jiale Yang, Yifei Lu +1Salesman ProblemGraph Neural Networks

  31. GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots

    Jul 20, 2026Lara Goncebat, Rodrigo Echeveste, Matías Gerard +3Heterogeneous CatalysisGraph Neural Networks

  32. Physics Closure Matters for Machine Olfaction: A Maxwell-Stefan Graph Solver for Identifiable Dynamic Gas Unmixing

    Jul 20, 2026Yue Shi, Liangxiu Han, Xin Zhang +1Olfactory PerceptionHyperspectral Unmixing

  33. Sobek: Streaming Equivariant Tensor Product Convolutions

    Jul 20, 2026Vladimir Chorošajev, Cédric BényTensor ProgramsGraph Neural Networks

  34. Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs

    Jul 19, 2026Pranjal Naman, Yogesh SimmhanGraph Neural NetworksGraph Neural Network Inference

  35. SAGA: Synthetic Agentic Graph Architecture for Temporal Benchmark Generation

    Jul 19, 2026Jiacheng Ding, Xiaofei ZhangTemporal GraphsGraph Neural Networks

  36. On the Potential of Graph Neural Networks as Metamodels for Supply Chain Optimization: Dataset, Architectures, and Directions

    Jul 18, 2026Tushar Lone, Neha KaranjkarGraph Neural NetworksSupply Chain Optimization

  37. Approximating SPR Distance Between Phylogenetic Trees with Graph Neural Networks

    Jul 17, 2026Renata Martins Castanheira, Miguel Bugalho, Cátia VazPhylogenetic TreesGraph Neural Networks

  38. Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls

    Jul 17, 2026Henrik Lange, Reik Thormann, Philipp BekemeyerAerodynamicsComputational Fluid Dynamic

  39. Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes

    Jul 17, 2026Jaeyeong Lee, Taeseong Yoon, Wonmo Koo +1Anomaly DetectionGraph Neural Networks

  40. Dual-Level Atomic and Coordination Geometry Learning for Crystal Property Prediction Using Graph Neural Networks

    Jul 17, 2026Sanjay ChakrabortyGraph Neural NetworksCrystal

  41. Grad2Fair: A Gradient-driven Approach for Graph Fairness without Demographics

    Jul 16, 2026Yuchang Zhu, Zezhong Xie, Huizhe Zhang +4Fairness-Aware LearningFederated Graph Learning

  42. NodeImport: Imbalanced Node Classification with Node Importance Assessment

    Jul 15, 2026Nan Chen, Zemin Liu, Bryan Hooi +3Extreme Class ImbalanceGraph Neural Networks

  43. Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphs

    Jul 15, 2026Mohammad ForouheshGraph Representation LearningIll-Posed Inverse Problem

  44. A multi-scale feature enhanced graph neural network for fluid dynamics prediction in complex geometries

    Jul 13, 2026Li Xiao, Tianyu Li, Yiye Zou +2Computational Fluid DynamicFluid Dynamics

  45. Structure-Feature Aligned Graph Learning via Alternating Constrained Optimization

    Jul 13, 2026Chengcheng Yan, Qingsong WangGraph Neural NetworksIndependent Anchor Network

  46. Learning Subgroup Relations Using Siamese Graph Neural Networks

    Jul 13, 2026Tal WeissblatFinite GroupsSubgraphs

  47. Graph Neural Networks for RFID-Based Spatial Geometry Inference in Spatial AI Systems

    Jul 12, 2026Curtis Shull, Merrick Green, Roy RuckerRobust LocalizationGraph Neural Networks

  48. When does distribution shift break graph neural networks calibration?

    Jul 12, 2026Abderaouf BahiGraph Neural NetworksDistribution Shifts

  49. Graph Neural Networks for Scalable and Transferable Node Centrality Approximation

    Jul 10, 2026Samra Sana, Giorgio Mantica, Saul ImbriciMultiple Centrality MeasuresGraph Neural Networks

  50. PRecG: Legal Precedent Retrieval with Graph Neural Networks and Rhetorical Role Segmentation

    Jul 10, 2026Devanshu Verma, Vasudha Bhatnagar, Vikas Kumar +1RhetoricSemantic Similarity Metrics

  51. Model Agnostic Graph Prompt Learning for Crystal Property Prediction

    Jul 9, 2026Shrimon Mukherjee, Kishalay Das, Partha Basuchowdhuri +2Graph Neural NetworksGraph Representation Learning

  52. Pattern-Aware Graph Neural Networks for Handling Missing Data

    Jul 9, 2026Minett Tran, Taehee JeongMissing DataGraph Neural Networks

  53. EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy

    Jul 9, 2026Wenxiu Ding, Muzhi Liu, Zheng Yan +3Differential PrivacyGraph Representation Learning

  54. path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting

    Jul 8, 2026Claudio Meggio, Johan Pensar, Riccardo De BinGraph Representation LearningGraph Neural Networks

  55. A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals

    Jul 8, 2026Pragatheeswaran Vipulanandan, Kamal Premaratne, Manohar MurthiSurface ElectromyographyHand Gesture Recognition

  56. MVMGNN;Multi-View Masked Graph Neural Network for Alzheimer's Disease Diagnosis using Structural MRI

    Jul 8, 2026Ni Yao, Zhenxu Wang, Danyang Sun +6AlzheimerHuman Brain Networks

  57. Hardware-aware Graph Neural Networks prunning for embedded event-based vision

    Jul 7, 2026Piotr Wzorek, Kamil Jeziorek, Tomasz KryjakGraph Neural NetworksHeterogeneous Pruning Scores

  58. Multimodal Molecular Representation Learning with Graph Neural Networks, Deep & Cross Networks, and SMILES Embeddings

    Jul 7, 2026Qiwei Han, Chi Zhou, Ruobing Wang +1Graph Neural NetworksLong-Range Temporal Dependencies

  59. Hyperparameter Transfer in Graph Neural Networks

    Jul 6, 2026Gage DeZoort, Boris HaninGraph Neural NetworksNormalization

  60. Measuring What Matters: A Unified Evaluation Framework for GNN Explainability

    Jul 6, 2026Francesco Paolo Nerini, Mirko Zaffaroni, Paolo Baracco +2ExplainabilityExplainable Artificial Intelligence