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. FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning

    Jun 30, 2026Zekai Chen, Kairui Yang, Xuaner Chen +4Federated Graph LearningGraph Foundation Model

  2. Gated Multi-Graph Fusion via Graph Attention Networks for Alzheimer's Disease Detection

    Jun 30, 2026Jinyu Li, Xiao Wei, Bin Wen +5AlzheimerDisease Detection

  3. TAG-DLM: Diffusion Language Models for Text-Attributed Graph Learning

    Jun 30, 2026Lingjie Chen, Yuanchen Bei, Haobo Xu +3Text-Attributed GraphGraph Language Models

  4. Visualizing High-Dimensional Graph Embeddings via Informed Multi-View Projections

    Jun 30, 2026Ya Ji, Xuefeng Li, Timo Brand +4Visual AnalyticsGraph Representations

  5. A Stationary-Distribution Theory for Triplet-Based Plateau Search in Random Forest Ensemble-Size Selection

    Jun 29, 2026Andrey A. Dukhovny, Andrey M. LangeRandom ForestFinite-Sample

  6. 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

  7. Curvature-Guided Sheaf Diffusion for Unsupervised Community Detection on Heterophilic Graphs

    Jun 29, 2026Feifan WangText-Attributed GraphCurvature

  8. SIR: Structured Image Representations for Explainable Robot Learning

    Jun 29, 2026Paul Mattes, Jan Schwab, Jens Bosch +5Robot PoliciesScalable Robot Learning

  9. 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

  10. Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection

    Jun 29, 2026Bochen Lin, Jianxiang Yu, Jiayi Wu +3Generalist Graph Anomaly DetectionText-Attributed Graph

  11. Exploring Motivations for Algorithm Mention in the Domain of Natural Language Processing: A Deep Learning Approach

    Jun 29, 2026Yuzhuo Wang, Yi Xiang, Chengzhi ZhangIntrinsic MotivationNatural Language Processing

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

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

  13. Rethinking Generative Reconstruction Attacks against Graph Neural Network Models

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

  14. 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

  15. 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

  16. Measuring Graph-to-Graph Semantic Similarity in Knowledge Graphs: An Empirical Evaluation of Knowledge Graph Embeddings

    Jun 28, 2026Seungryeol Baek, Wooseok Sim, Hogun ParkKnowledge Graph EmbeddingsKnowledge Graphs

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

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

  18. Replica Symmetry Breaking and Algorithmic Thresholds in Empirical Risk Minimization under Multi-Index Model

    Jun 26, 2026Andrea Montanari, Kangjie ZhouEmpirical Risk MinimizationOptimal Sample Complexity

  19. Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection

    Jun 26, 2026Liming Liu, Chao Hu, Mingfei Lu +3Generalist Graph Anomaly DetectionFraud Detection

  20. scKDGM: KAN-guided Dynamic Graph Masked Learning for Single-Cell RNA-seq Clustering

    Jun 26, 2026Jun Tang, Pengwei Hu, Sicong Gao +3Single-Cell Rna SequencingGraph Representation Learning

  21. hia-gat: A Heterogeneous Interaction-Aware Graph Attention Network For Frame-Level Traffic Conflict Risk Prediction On Freeways

    Jun 25, 2026Mahshid Malazizi, Seyedmehdi Khaleghian, Mina Sartipi +3Lane GeometryHeterogeneous Graph Transformers

  22. GRAFT: Biological Graph and Hypergraph Benchmarks for Linked Gene Expression and Phenotypic Trait Prediction in Arabidopsis thaliana

    Jun 25, 2026Manuel Serna-Aguilera, Vanshika Jindal, Fiona L. Goggin +53D Plant PhenotypingPhenotypes

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

    Jun 25, 2026Abderaouf BahiGraph Neural NetworksNeural Network

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

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

  25. 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

  26. 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

  27. 3D Spatial Pattern Matching

    Jun 25, 2026Nicole R. Schneider, Avik Das, Lukas Arzoumanidis +3Global Spatial InformationSubgraphs

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

    Jun 24, 2026Tal WeissblatFinite GroupsGraph Neural Networks

  29. 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

  30. Hierarchical Graph Learning for Calendar Spread Strategies in Commodity Futures Markets

    Jun 24, 2026Yoonsik Hong, Diego KlabjanMarketGraph Representation Learning

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

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

  32. TheoremGraph: Bridging Formal and Informal Mathematics

    Jun 24, 2026Simon Kurgan, Evan Wang, Eric Leonen +6MathematicsDependency Graph

  33. Communicability-Inspired Positional Encoding (CIPE)

    Jun 24, 2026Yipeng Zhang, Zhongtian Sun, Pietro Liò +1Heterogeneous Graph TransformersPositional Encoding

  34. CKM-Driven Communication-Aware UAV Intelligent Trajectory Optimization for Urban Inspection

    Jun 23, 2026Yang Xiaomeng, Jia Ziye, Zhu Qiuming +1Unmanned Aerial Vehicle TrajectoriesUnmanned Aerial Vehicles

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

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

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

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

  37. Can Aggregate Invariants Accelerate Continuous Subgraph Matching? Limits, Laws, and a Dynamic Spectral Index

    Jun 23, 2026Minghao Chen, Jiale ZhengSubgraphsGraph Laplacians

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

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

  39. Towards Federated Long-Tailed Graph Learning: An Energy-Guided Dual Decoupling Approach

    Jun 23, 2026Lianshuai Guo, Zhongzheng Yuan, Xunkai Li +2Federated Graph LearningGraph Representation Learning

  40. A Spectral Theory of Normalized Corrected GNN Propagation

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

  41. SuperCond-GNN: Scalable Graph Neural Network Surrogate for Superconducting Circuit Simulations

    Jun 22, 2026Nandana Menon, Giorgio ValloneGnn-Based DetectorsMagnetic Tunnel Junction

  42. SEMIR: Topology-Preserving Graph Minors for Thin-Structure Segmentation

    Jun 22, 2026Luke James Miller, Yugyung LeeTopological Deep LearningGraph Representation Learning

  43. Bridge the Gaps: Heterogeneous Attributed Graph Clustering via Quaternion Representation Learning

    Jun 22, 2026Xinxi Chen, Junyang Chen, Yiqun Zhang +2Text-Attributed GraphGraph Representation Learning

  44. 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

  45. Learning Graphs through Continuous Information Entropy Fields

    Jun 22, 2026Hui Cong, Bo Sun, Ziheng Jiao +1Graph Representation Learning

  46. Quantum-Inspired Contextual Learning for Sparse-Ring Fraud Detection in Dynamic Transaction Graphs

    Jun 22, 2026Behnam Tonekaboni, Hiroshi YamauchiFraud DetectionGraph Representation Learning

  47. Learning-Augmented Algorithms for Online Vertex Cover

    Jun 22, 2026Tianhang Lu, Runtian Ren, Shengcai LiuLearning-Augmented AlgorithmsMaximum Independent Set

  48. GRADE: Graph Representation of LLM Agent Dependency and Execution

    Jun 22, 2026Yue ZhaoLarge Language Model AgentsGraph Representations

  49. Trajectory Learning with Graph Representations for Social Robot Navigation

    Jun 21, 2026Berke Kartal, Burcu Kilic, Yigit Yildirim +1Social Robot NavigationImitation Learning

  50. Adaptive Recurrent Message Passing for Test Time Computing on Graphs

    Jun 21, 2026Junshu Sun, Wanxing Chang, Qingming Huang +1Message Passing Neural NetworksStable Test-Time Adaptation

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

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

  52. Multigrid Training for Molecular Generation using Graph Neural Networks

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

  53. FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism

    Jun 20, 2026Peng Fang, Arijit Khan, Ziqiang Wu +4Graph Representation LearningFeedback Loop

  54. Early-Exit Graph Neural Networks for Link Prediction

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

  55. 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

  56. One-Shot Data Selection for Medical Image Classification via Graph Coverage

    Jun 20, 2026Zahiriddin Rustamov, Nadia Badawi, Rafat Damseh +1Medical Image ClassificationMnist

  57. Monitoring Diameters of Causal Communication Graph with Spatio-Temporal Logic

    Jun 19, 2026Lydia Bakiri, Jérémy Dubut, Sergio MoverLinear Temporal LogicsReachability

  58. Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-Identification

    Jun 19, 2026Nichula Wasalathilaka, Abhijit Das, Imran Razzak +1Re-IdentificationAnatomy

  59. Ramanujan Graph Rewiring with Non Negative Resistance Curvature

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

  60. SLeDGe: Semi-Supervised Learning on Data Streams with Graph Structure Learning

    Jun 19, 2026Heechan Moon, Kijung ShinSemi-Supervised LearningGraph Representation Learning