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

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Period ending 2026-09-07

22 new papers

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  1. Structure-Aware Graph Multi-Task Learning for Dynamic Sparse OD Demand Prediction

    Jun 19, 2026Ming Xu, Jiawei CaoAccurate Traffic ForecastingGraph Representation Learning

  2. 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

  3. Hierarchical Pooling for Sheaf Neural Networks

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

  4. 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

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

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

  6. HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction

    Jun 18, 2026Siqi Miao, Shitij Govil, Jack P. Rodgers +5High Energy PhysicsHeterogeneous Graph Transformers

  7. Geometry-Aware Superpixel Graph Transformer with Metadata for Skin Lesion Classification

    Jun 18, 2026Muhammad Azeem, Tanveer Hussain, Amr Ahmed +1Skin Lesion ClassificationGraph Representation Learning

  8. Towards Graph-Based Deep Learning for Map Generalization: Insights from Building Footprints Simplification and Aggregation

    Jun 18, 2026Yanning Wang, Zhiyong Zhou, Zhouyu Liu +2Graph Representation LearningGlobal Spatial Information

  9. 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

  10. An Information Theoretic Framework for Graph Novelty Generation via Latent Mixture Modeling

    Jun 18, 2026Itsuki Nakagawa, Kenji YamanishiGraph Representation LearningGenerative Models

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

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

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

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

  13. 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

  14. AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network

    Jun 17, 2026Bolin Shen, Ziwei Huang, Zhiguang Cao +1Salesman ProblemGraph Representation Learning

  15. 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

  16. FOSC-X: An Extended Framework for Optimal Local Cuts and Non-Horizontal Cluster Selection from Clustering Hierarchies

    Jun 17, 2026Connor Simpson, Ricardo J. G. B. CampelloImage ClusteringMaximum Independent Set

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

    Jun 17, 2026Zirong LiGraph Neural NetworksMnist

  18. Graph Grounded Cross Attention Transformer Neural Network for Structurally Constrained Full Event Sequence Generation in Predictive Process Monitoring

    Jun 17, 2026Fang Wang, Ernesto DamianiHeterogeneous Graph TransformersSequence Modeling

  19. Dimensionality Reduction of QAOA Parameter Space with Kernel PCA for Max-Cut

    Jun 17, 2026Sidharth Brahmandam, Vayd RamkumarQuantum Approximate Optimization AlgorithmVariational Quantum Circuits

  20. Compact Geometric Representations of Hierarchies

    Jun 16, 2026Prashant Gokhale, Piotr Indyk, Yuhao Liu +3Graph-Based RetrievalEmbedding Dimension

  21. 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

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

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

  23. RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation

    Jun 16, 2026Renzhi Wu, Zikun Cui, Junjie Yang +10Graph-Based RetrievalGraph Representation Learning

  24. Darshana Graph: A Parallel Commentary Corpus for Comparative Indian Philosophy, with Stylometric and Exploratory Graph Analyses

    Jun 16, 2026Joy BoseBodhiStylometric

  25. Deep Reinforcement Learning for Minimum Zero-Forcing Sets

    Jun 16, 2026Steve Halley, Maurício GruppiGraph Representation LearningMaximum Independent Set

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

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

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

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

  28. Random coloured digraphs defined by a Markov logic network

    Jun 16, 2026Yasmin Tousinejad, Vera KoponenMarkovAsymptotics

  29. Geometrical fairness in graph neural networks

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

  30. Handling Feature Heterogeneity with Learnable Graph Patches

    Jun 16, 2026Yifei Sun, Yang Yang, Xiao Feng +4Graph Foundation ModelGraph Representation Learning

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

    Jun 16, 2026Zhongyuan Wang, Pratyusha VemuriGraph Neural NetworksInterference

  32. Non-negative Matrix Factorisation with Topological Regularisation

    Jun 16, 2026Matias de Jong van Lier, Shizuo Kaji, Keunsu KimNonnegative Matrix FactorizationPersistent Homology

  33. 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

  34. Finsler Geometry, Graph Neural Networks, and You

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

  35. TCHG: Tri-Trust Conditioned Heterogeneous Graph Learning for Reliable Dynamic Trust Prediction

    Jun 15, 2026Bohao Liao, Boyu Deng, Qipeng Song +2Text-Attributed Graph

  36. VeriGraph: Towards Verifiable Data-Analytic Agents

    Jun 15, 2026Jiajie Jin, Zhao Yang, Wenle Liao +5Reasoning GraphsAgentic Reasoning

  37. 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

  38. Model Graph Inductive Learning for Knowledge Graph Completion

    Jun 15, 2026Mohommad Esmaei Khani, Mahdieh Hasheminejad, Ali Taherkhani +1Zero-Shot Link PredictionGraph Representation Learning

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

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

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

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

  41. Formalizing and Mitigating Structural Distortion in LLM Attention for Graph Reasoning

    Jun 14, 2026Donald Loveland, Puja Trivedi, Ari Weinstein +2Heterogeneous Graph TransformersText-Attributed Graph

  42. Guiding Federated Graph Recommendation with LLM-encoded knowledge

    Jun 13, 2026Thi Minh Chau Nguyen, Hien Trang Nguyen, Duc Anh Nguyen +3Federated Graph LearningGraph Representations

  43. Controlled Dynamics Attractor Transformer

    Jun 13, 2026Cheng Zhang, Minnan Luo, Zesheng Yang +3Heterogeneous Graph TransformersAttractors

  44. Resilient Consensus in Agentic AI

    Jun 12, 2026Sribalaji C. Anand, George J. PappasConsensusGraph Representations

  45. 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

  46. Mask Proposal Voting Based on Geodesic Framework for Robust Image Segmentation

    Jun 12, 2026Li Liu, Mingzhu Wang, Zhenjiang Li +2Robust SegmentationSegmentation Model

  47. 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

  48. Recovery thresholds for hidden weighted sparse graphs

    Jun 12, 2026Zhe Hou, Jingcheng LiuExponential Random Graph ModelsInformation-Theoretic Limits

  49. Achieving Precise Text-To-Cypher Via Grounded Knowledge Graph Data Generation

    Jun 12, 2026Francesco Cazzaro, Jessica Lennon, Ariadna QuattoniText GenerationSynthetic Data

  50. Context-aware Modality-Topology Co-Alignment for Multimodal Attributed Graphs

    Jun 12, 2026Sirui Zhang, Xu Wang, Zhengyu Wu +2Graph Foundation ModelModality Alignment

  51. PostDeg: Placement Beats Parameterization in LayerNorm GNNs

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

  52. Understanding Truncated Positional Encodings for Graph Neural Networks

    Jun 11, 2026James Flora, Mitchell Black, Weng-Keen Wong +1Graph Neural NetworksPositional Encoding

  53. Clustering Node Attributed Networks with Graph Neural Networks and Self Learning

    Jun 11, 2026Rodrigo de Sapienza Luna, Daniel Ratton FigueiredoGraph Neural NetworksImage Clustering

  54. How Task Structure Limits Multi-Agent Success: An Information-Theoretic Analysis

    Jun 11, 2026Shi Pan, Ming LuoMulti-Agent SystemsSingle-Agent

  55. Transformer-Guided Graph Attention for Direct Cardiac Mesh Reconstruction: A Structural Digital Twin Framework

    Jun 11, 2026Abhishek H S, Akash Ganamukhi, Abhimanyu Suresh +3Cardiac MotionSwin

  56. Selecting Samples on Graphs: A Unified Dataset Pruning Framework for Lossless Training Acceleration

    Jun 11, 2026Dongyue Wu, Zilin Guo, Xiaoyu Li +4Heterogeneous Pruning ScoresGraph Representation Learning

  57. Multimodal Graph Negative Learning

    Jun 11, 2026Zhengyu Wu, Xu Wang, Hongchao Qin +4Robust Multimodal LearningGraph Foundation Model

  58. Information Lattice Learning as Probabilistic Graphical Model Structure Learning

    Jun 11, 2026Haizi Yu, Lav R. VarshneyProbabilistic InferenceFactor Graphs

  59. Physics-Aware Auxiliary Losses Improve Out-of-Distribution Generalization of a GNN Synthesizability Filter

    Jun 10, 2026Riya Bisht, Dhruv AgarwalOut-Of-DistributionGraph Neural Networks

  60. Neuro-Relational Programs: Unifying Queries and Neural Computation over Structured Data

    Jun 10, 2026Arie Soeteman, Balder ten Cate, Maurice Funk +3Relational Deep LearningRelational