Graph Neural Networks

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Period ending 2026-09-21

38 new papers

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

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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1,049 papers

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

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

  2. One Model, Many Graphs: Learning over Attributed Graphs across Heterogeneous Modalities with Vision-Language Models

    Jul 21, 2026Jiayi Yang, Yifang Chen, Yuanfu Sun +2Cross-Modal AttentionLarge Vision Language Models

  3. Parallel Noising in Neural Markov Logic Networks

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

  4. OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation

    Jul 21, 2026Yuze Dai, Zhihan Zhang, Yan Zhao +6Text-Attributed Graph

  5. 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

  6. Enhancing Transformer-based Routing by Encoding Distance via Relative Positional Encoding

    Jul 21, 2026Leyre Encío, Daniel Fuertes, Carlos R. del-Blanco +1Positional EncodingTransformer Encoder

  7. RAMP: Recognition parametrisation by Amortised Message Passing

    Jul 21, 2026Lior Fox, Kai Biegun, James Heald +3Latent VariableUnsupervised

  8. 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

  9. 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

  10. Attacking Graph Foundation Models Through Their Shared Representation

    Jul 20, 2026Pankaj Kumar, Subhankar MishraGraph Foundation ModelWireless Foundation Models

  11. Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics

    Jul 20, 2026Vignesh Tirukkonda, Gautam DasarathyGibbs MeasuresGraph Representation Learning

  12. 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

  13. Sobek: Streaming Equivariant Tensor Product Convolutions

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

  14. A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment

    Jul 20, 2026Nikola Pižurica, Matteo Risso, Nikola Milović +4BayesianResource-Constrained Edge Devices

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

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

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

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

  17. Node4All: Learning Node Representation Beyond Datasets

    Jul 19, 2026Dooho Lee, Jaemin YooGraph RepresentationsHyperparameter Optimization

  18. Increasing Line Outage Localization Performance with Ensemble Classifiers

    Jul 18, 2026Daniel Flores, Yuanrui Sang, Michael P. McGarryAc Optimal Power FlowMaximum Independent Set

  19. A BIM-enabled, Agent-based Discrete-event Simulation Platform for Robotic Studies: A Method based on Graph Theory

    Jul 18, 2026Ping Xu, Xinghua GaoSocial Robot NavigationBuilding Information Modeling

  20. 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

  21. The Value of Depth in Message Passing on Sparse Graphs: A Kesten-Stigum Dichotomy

    Jul 18, 2026Aseem Raj BaranwalMessage Passing Neural NetworksSearch Depth

  22. SAGE: A Socially-Aware Generative Engine for Heterogeneous Multi-Agent Navigation

    Jul 18, 2026Lan Hu, Minghui Liwang, Wenbo Zhu +5Social Robot NavigationMulti-Agent Systems

  23. DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines

    Jul 18, 2026Runming He, Zhen Hao Wong, Hao Liang +4Traditional Dataflow AnalysisLarge Language Model Pipelines

  24. Cost Accounting for Reactive Computational Graphs: Exhaustive Sweeps, Sequential Mutation, and the Backward-Locality Gap

    Jul 18, 2026Abdallah KhemaisComputational CostBackpropagation

  25. Exact Network Surgery: Functional Invariance and Gradient Plasticity in Reactive Computational Graphs

    Jul 18, 2026Abdallah KhemaisResidual ConnectionsGradient Descent

  26. Discrete Ricci Curvature on Protein Contact Graphs for Lightweight Fold Classification

    Jul 17, 2026Jianru ShenEmbedding DimensionRotation-Invariant Descriptors

  27. DS@GT ARC at AnimalCLEF 2026: Species-Aware Graph Construction for Multi-Species Animal Re-Identification

    Jul 17, 2026Evan Sinclair Smith, Anthony Miyaguchi, Snigdha Palamari +1Animal Re-IdentificationBiodiversity Monitoring

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

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

  29. 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

  30. 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

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

    Jul 17, 2026Sanjay ChakrabortyGraph Neural NetworksCrystal

  32. Toward Federated Multimodal Graph Foundation Models: A Topology-Aware Multimodal Alignment Framework

    Jul 17, 2026Xunkai Li, Guohao Fu, Yuming Ai +4Federated Graph LearningGraph Foundation Model

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

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

  34. Reinforcing Egocentric Spatial Perception in Multimodal Large Language Models via Ego Scene Augmentation

    Jul 16, 2026Chi Kit Wong, Ye Pan, Yuanhuiyi Lyu +6Egocentric VisionTextvqa

  35. Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs

    Jul 15, 2026Manuel Fernandez, Yizhe ZhuExponential Random Graph ModelsLatent Cluster Geometry

  36. NodeImport: Imbalanced Node Classification with Node Importance Assessment

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

  37. MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model

    Jul 15, 2026Charilaos Papaioannou, Ioannis Tsantilas, Dimitris Giannakakos +9Ac Optimal Power FlowHeterogeneous Graph Transformers

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

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

  39. EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting

    Jul 14, 2026Mingxing Xu, Rakesh Chowdary Machineni, Ke Liu +7Accurate Traffic ForecastingHeterogeneous Graph Transformers

  40. CayleyR: Solving the TopSpin puzzle via cycle intersection

    Jul 14, 2026Yuri BaramykovPermutationPuzzle

  41. Graph Partitioning with Demands: Generalized Conductance and its Applications

    Jul 14, 2026Michał Szyfelbein, Dariusz DereniowskiMaximum Independent SetApproximation Algorithms

  42. Improving Molecular Property Prediction in Small Language Models Using Graph-based Tools

    Jul 14, 2026Konstantinos Bougiatiotis, Dimitrios Kelesis, Georgios PaliourasMolecular Property PredictionSmall Language Models

  43. Graph Feedback Controls Consensus and Clique Formation in Open-Weight Language-Model Populations

    Jul 13, 2026Samer Saab, Chaouki AbdallahConsensusMulti-Agent Large Language Model

  44. Learning the Graphical Nature of Symmetries

    Jul 13, 2026Rashid Barket, Enrico Grimaldi, Yacoub Hendi +3Finite GroupsGraph Representations

  45. 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

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

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

  47. Surprisingly Simple and Effective Multi-Domain Graph Foundation Model through Graph-to-Table Alignment

    Jul 13, 2026Chunyu Hu, Tianyin Liao, Ge Lan +4Graph Foundation ModelTabular Foundation Models

  48. LP Mining with LP2Graph: A Use Case for Railway Rescheduling

    Jul 13, 2026Jörn Maurischat, Nikola Bešinović, Michael FärberMixed-Integer ProgrammingRailway Environments

  49. Learning Subgroup Relations Using Siamese Graph Neural Networks

    Jul 13, 2026Tal WeissblatFinite GroupsSubgraphs

  50. A Novel Graph Fraud Detector via Grouped Attribute Completion and Confidence-Aware Contrastive Learning

    Jul 13, 2026Junpeng Wu, Ye YuanGeneralist Graph Anomaly DetectionGraph Representation Learning

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

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

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

    Jul 12, 2026Abderaouf BahiGraph Neural NetworksDistribution Shifts

  53. From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers

    Jul 12, 2026Binbin Lin, Wei Chen, Yalun Li +3Transformer AttentionTransformer Architectures

  54. The RG-Flow Transformer: Encoding Scale-Free Dynamics in Scarce EEG

    Jul 11, 2026Dibakar SigdelSleep Stage ClassificationTransformer Architectures

  55. Graph Representation of RaagBase: A Unique Dataset for Hindustani Music

    Jul 11, 2026Chandan Misra, Swarup ChattopadhyayGhanaGraph Representations

  56. SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention

    Jul 11, 2026Lidia Losavio, Francesco Sovrano, Dario Fenoglio +2Anti-Money LaunderingGnn-Based Detectors

  57. Distance-Preserving Embeddings in Inhomogeneous Random Graphs

    Jul 11, 2026My Le, Luana Ruiz, Souvik DharaExponential Random Graph ModelsGraph Representation Learning

  58. Inverse-IMPRESSION: A Graph-based Platform for Molecular Structure Elucidation from Experimental NMR Spectroscopic Properties

    Jul 10, 2026Zheqi Jin, Grace Armitage, Richard Cox +3Molecular Structure ElucidationImprint

  59. Conceptual Networks for Cross-Linguistic Idiomatic Expressions: A Feature-Based Graph Approach

    Jul 10, 2026Kiran Pala, Punam Silu, Luxin YuMultilingual IdiomsFigurative Language

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

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