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

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

  2. Model Agnostic Graph Prompt Learning for Crystal Property Prediction

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

  3. TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning

    Jul 9, 2026Fangxu Yu, Tao Feng, Dehai Min +3Time SeriesInference-Time

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

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

  5. Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph

    Jul 9, 2026Duen Horng Chau, Donghao Ren, Fred Hohman +1Dimensionality ReductionHigh-Dimensional Data

  6. 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

  7. Tonnetz-Driven Graph Wedgelet for Harmonic Complexity Reduction in Music Scores

    Jul 9, 2026Emmanuel Caronna, Elisa Francomano, Silvia LicciardiHarmonic TonesSheet Music

  8. Learning AC0\mathsf{AC}^0 under Locally Sampleable Graphical Models

    Jul 9, 2026Weiming Feng, Xiongxin Yang, Yixiao Yu +1Optimal Sample ComplexitySingular Learning Theory

  9. PolyUQuest: Verifiable Structure-Aware Web RAG over Heterogeneous Graphs

    Jul 9, 2026Ying Liu, Yi Ye, Quanyu Feng +5Multi-Hop ReasoningText-Attributed Graph

  10. Structure Learning on Clustered Data

    Jul 9, 2026Ryan Thompson, Matt P. Wand, Veerabhadran BaladandayuthapaniCluster StructureGraph Representation Learning

  11. 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

  12. 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

  13. Graph-Regularized Deep Learning for EEG-Based Emotion Recognition with Psychologically-Grounded Label Structure

    Jul 8, 2026Dongyang Kuang, Zizheng Ma, Yushan Zhang +1Emotion RecognitionGraph Representation Learning

  14. 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

  15. Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization

    Jul 8, 2026Adam M. ObermanSemi-Supervised LearningGraph Representation Learning

  16. InductWave: Inductive Multi-Hop Logical Query Answering on Knowledge Graphs

    Jul 8, 2026Mayank Kharbanda, Michael Cochez, Rajiv Ratn Shah +1Knowledge GraphsMulti-Hop Reasoning

  17. Eigenbasis-Independent Learnable Spectral Positional Encodings for Directed Graphs via Hermitian Block Krylov Subspaces

    Jul 8, 2026Jiaqing Xie, Yuxin WangGraph LaplaciansGraph Representation Learning

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

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

  19. Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion

    Jul 7, 2026Shervin Khalafi, Igor Krawczuk, Sergio Rozada +3Heterogeneous Graph TransformersImage Denoising

  20. EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning

    Jul 7, 2026Przemysław RolaManifold Learning MethodGeodesic

  21. Diffusion enabled Optimal Transport distances for graph matching

    Jul 7, 2026Iman Seyedi, Francesco ArchettiGraph Representation LearningGromov--Wasserstein

  22. Fast determinantal sampling on general spaces and diffusion geometry

    Jul 7, 2026Hoang-Son Tran, Pranav Gupta, Subhroshekhar GhoshDeterminantal Point ProcessOptimal Sample Complexity

  23. 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

  24. Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning

    Jul 6, 2026Vrushank Ahire, Yogesh Kumar, M. A. GanaieMulti-ViewGraph Representation Learning

  25. GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks

    Jul 6, 2026Kaiyuan Chen, Shuangyu Xie, Letian Fu +21Robot PoliciesHuman-To-Robot Transfer

  26. Beyond Isolated Objects: Relationship-aware Open Vocabulary Scene Understanding via 3D Scene Graph Analysis

    Jul 6, 2026Xianhao Chen, Jiarui Hu, Yuanbo Yang +53D Scene Understanding3D Scene Graphs

  27. MeGA-MP: Metric Graph Advection Message Passing -- A Physics-Informed Message Passing Operator for Advection-Dominated Metric Graphs

    Jul 6, 2026Janine Strotherm, Luca Hermes, André Artelt +1Message Passing Neural NetworksAdvection-Reaction-Diffusion

  28. Hyperparameter Transfer in Graph Neural Networks

    Jul 6, 2026Gage DeZoort, Boris HaninGraph Neural NetworksNormalization

  29. Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction

    Jul 6, 2026Johannes Kiechle, Richard Osuala, Daniel M. Lang +5Patient TrajectoriesGraph Representation Learning

  30. Active Learning on Adversarially Corrupted Graphs

    Jul 6, 2026Marco Bressan, Nicolò Cesa-Bianchi, Tommaso d`Orsi +2Graph TheoryActive Learning

  31. Towards Personalized Differentially Private Learning for Decentralized Local Graphs

    Jul 6, 2026Longzhu He, Peng Tang, Chaozhuo Li +5Differential PrivacyFederated Graph Learning

  32. Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy

    Jul 6, 2026Jingyun Zhang, Hao Peng, Jianxin Li +2Graph Representation LearningContrastive Learning

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

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

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

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

  35. 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

  36. Graph Classification via Network Usable Information: From Representation Evaluation to Structure Selection

    Jul 3, 2026Abdullah Shaik, Anwar SaidGraph Representation LearningMultiple Centrality Measures

  37. A Near-Linear-Time Solver for Graph pp-Laplacian Semi-Supervised Learning via Continuation in pp

    Jul 3, 2026Oren E. LivneGraph LaplaciansSemi-Supervised Learning

  38. TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluation

    Jul 3, 2026Axel TahmasebiMoradi, Lucas Schott, Martin RoyerGraph-Based Retrieval Augmented GenerationKnowledge Graphs

  39. LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection

    Jul 3, 2026Hang Gao, Xiaoyu Chen, Baoquan Cui +4Malware DetectionObject Classification

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

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

  41. Graph Neural Networks for the Graphical Bootstrap

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

  42. Heterogeneous Graph Condensation via Role-Aware Clustering

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

  43. Back to Basics: Improving Molecular Understanding in LLMs via SMILES-Graph Translation

    Jul 3, 2026Wenda Wang, Jinjia Feng, Zhewei WeiMolecular Structure ElucidationGraph Language Models

  44. MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning

    Jul 3, 2026Yaniv Shulman, Shaghayegh Akbarpour, Jack B. MuirGraph Representation LearningEmbedding Dimension

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

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

  46. HNSW with Accuracy Guarantees Using Graph Spanners

    Jul 2, 2026Minghao Li, Raghav Mittal, Sanjivni Rana +3Approximate Nearest-Neighbor SearchGraph Theory

  47. 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

  48. Actual causality in fault trees

    Jul 2, 2026Georgiana Caltais, Milan Lopuhaä-Zwakenberg, Mariëlle StoelingaCausal ReasoningRobot Failures

  49. Scene-Conditioned PINN-GNN for Multipath RF Maps: Cross-Scene Generation and In-Scene Completion

    Jul 2, 2026Lizhou Liu, Xiaohui Chen, Zihan Tang +2High-Fidelity Radio Map ConstructionRadio Frequency

  50. 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

  51. X-LogSMask: Expand Transformer for Graph-Structured Data

    Jul 2, 2026Leyan Li, Rennong Yang, Zhenxing Zhang +1Heterogeneous Graph TransformersTransformer Attention

  52. 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

  53. Message Passing Enables Efficient Reasoning

    Jul 1, 2026Xuecheng Liu, Daman Arora, Gokul Swamy +1Large Language Model ReasoningParallel

  54. Characterizing and Identifying Separable Graphical Models

    Jul 1, 2026Christopher Meek, Kayvan SadeghiGraph TheorySeparability

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

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

  56. ClinRAG-GRAPH: Clinical-prior Retrieval-Augmented Graph Model with Domain Adversarial Learning for Breast pCR Prediction

    Jul 1, 2026Yaofei Duan, Yuhao Huang, Tianyu Zhang +12Clinical PredictionAuc-Roc

  57. Partial Skeleton Visibility for Action Recognition: A Constrained Field-of-View Approach

    Jul 1, 2026Yingjie Dai, Tianyang Xu, Yanglin Deng +2Skeleton-Based Action RecognitionVisibility

  58. Multi-Label Node Classification with Label Influence Propagation

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

  59. 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

  60. SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport

    Jul 1, 2026Yuting Zhang, Yanbei Liu, Zhitao Xiao +3Graph Representation LearningOptimal Transport