Graph Neural Networks

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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. Quantum Graph Convolutional Networks: Implementation and Trainability Analysis

    Sep 17, 2026Paul San Sebastian Sein, Theodor Iosif, Tilen G. Limbäck-Stokin +2Graph Neural Networks

  2. Learning Submanifolds for Subsequent Inference on Random Dot Product Graphs, Part 1: Theory

    Sep 16, 2026Michael W. Trosset, Carey E. PriebeStatistical ManifoldSemi-Supervised Learning

  3. ReDIL-GNN: Resynthesis Domain Incremental Learning for Circuit Graph Neural Networks

    Sep 16, 2026Rupesh Raj Karn, Johann Knechtel, Ozgur SinanogluDifferentiable Logic Gate NetworksGnn-Based Detectors

  4. Graph Attention Design Choices Matter: A Controlled Study of LoRA-Adapted Audio Anti-Spoofing

    Sep 14, 2026Haoyu Wang, Jing Yang, Chenyu Liu +7Multi-View Gated Graph Attention NetworkSelf-Supervised Audio Representations

  5. GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection

    Sep 14, 2026Zepeng Zhang, Fuad Khuri, Keivan Faghih Niresi +1Graph LearningTime Series

  6. Graph Matching Relaxations and Amortization for Supervised Graph Prediction

    Sep 14, 2026Federico Méndez, Paul Krzakala, Gabriel Melo +3Graph Learning

  7. When Connected Does Not Mean Similar: Charting the Homophily Boundary of SNAP-KG for Streaming Entity Integration

    Sep 14, 2026Jui-Chien Lin, Oshani SeneviratneText-Attributed GraphKnowledge Graph Embeddings

  8. \text{GSF-}\chi: Global Stereochemical Fields for Chiral Graph Transformers

    Sep 14, 2026Jiaqing Xie, Yuxin Wang, Xipeng QiuMultiplex Graph Transformers

  9. LiftGCN: Efficient Energy-Preserving Graph Learning via Joukowski Spectral Lifting for Finite Element Stress Prediction

    Sep 14, 2026Chen Zeng, Qiao WangFinite Element MethodGraph Neural Networks

  10. Cloud Workflow Scheduling Based on Graph Attention-Driven Hierarchical Reinforcement Learning

    Sep 14, 2026Zongjin Li, Shaohan Feng, Chunxi Yang +1Multi-View Gated Graph Attention NetworkDirected Acyclic Graph

  11. Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)

    Sep 12, 2026Harshdeep Singh, Yurui Zhu, Giovanni Colavizza +1Knowledge GraphsSparql

  12. HERALD: High-Fidelity Exemplar Retrieval with Adaptive Landmark Distillation for Heterophily-Aware Graph Condensation

    Sep 11, 2026Sujan Chakraborty, Priyanka Saha, Saptarshi BejText-Attributed GraphHeterogeneity

  13. Structurally Speaking: Motif-Oriented Graph Captioning through Bidirectional Graph-Text Translation

    Sep 10, 2026Hsiao-Ying Lu, Dongyu Liu, Kwan-Liu MaText-Attributed GraphVideo Captioning

  14. SynCo: Synthetic Community-Aware Attributed Graph Generator for Graph Neural Network Benchmarking

    Sep 9, 2026Guilherme Henrique Messias, Mariana Caravanti de Souza, Sylvia Iasulaitis +1Text-Attributed GraphGraph Neural Networks

  15. Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs

    Sep 9, 2026Saurabh Sihag, Andrea Cavallo, Elvin Isufi +2Covariance EstimationGraph Neural Networks

  16. Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking System

    Sep 9, 2026Alex LeytesBankingArtificial Intelligence Risk

  17. Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems

    Sep 9, 2026Innocenzo Fulginiti, Antonio Tudisco, Salvatore Zammuto +7Quantum CircuitsHigh-Performance Computing

  18. Morphological Decoupling-Based Skeletal Classification for Clinical Assessment of Malocclusion

    Sep 9, 2026Zhichun Jin, Zhicheng He, Hao Xu +4Cone-Beam Computed TomographyMorphology

  19. Efficient Graph Neural Networks for Multicarrier Wideband Hybrid Beamforming Optimization

    Sep 9, 2026Beier Li, Mai VuBeamformingGraph Neural Networks

  20. Kernel-Complexity Edge Sanitization for Training-Free Defense against Structural Graph Attacks

    Sep 9, 2026Yaning Jia, Shenyang Deng, Yaoqing Yang +3Graph Neural NetworksAdversarial Attack Strategies

  21. Learning Global Camera Poses from Noisy View-Graphs for Structure from Motion

    Sep 8, 2026Fadi Khatib, Meirav Galun, Ronen BasriDrift-Free Camera PosesStructure-From-Motion

  22. Chimaera: A Mixture-of-Graph-Experts Architecture for Cross-Task and Cross-Dataset Graph Learning

    Sep 8, 2026Jonathan Frank, David Richerby, Ansgar ScherpMultimodal Graph Foundation LearningText-Attributed Graph

  23. HOPE: Heterophily-Aware Open-Set Node Classification with Pseudo-Extrapolation

    Sep 8, 2026Yumeng Dai, Yue Tan, Yixin Liu +3Open-Set RecognitionGraph Neural Networks

  24. Safe Task Planning with Long-Term Graph Memory for Embodied Agents

    Sep 8, 2026Siyuan Li, Taiyan Lang, Aoqi Yan +6Hierarchical Graph MemorySafeguard

  25. TTGBench: Benchmarking Topological Evolution and Semantic Drift in Text-attributed Temporal Graphs

    Sep 8, 2026Longfei Ma, Zemin Liu, Fei WuTemporal Graph Neural NetworksText-Attributed Graph

  26. Topology-induced Operators Reveal Complementary Graph Representations without Training

    Sep 8, 2026Meng Qin, Jinqiang Cui, Hongwei Zheng +2Graph LearningRepresentation Learning

  27. α-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling

    Sep 7, 2026Thanh-Dat Truong, Sarah Alharbi, Susan Gauch +3Graph LearningGraph Neural Networks

  28. Graph neural networks and the energetic cavity method for combinatorial optimization

    Sep 7, 2026Joe Bacchus George, George T. CantwellTwo-Dimensional Ising ModelGraph Neural Networks

  29. Predicting Spatiotemporal Mobile Sensing-Based PM2.5 Concentrations Using Low-Rank Adapted Spatially Attentive Graph Neural Network

    Sep 7, 2026Om Chiddarwar, Priyanka Mandal, Praveen Kumar Chandaliya +1Air PollutionSpatio-Temporal Forecasting

  30. When Vision Meets Graphs: A Survey on Graph Reasoning and Learning

    Sep 3, 2026Xinjian Zhao, Wei Pang, Zhixuan Yu +8Graph Learning

  31. LevelSyn: Physical-Aware Logic Synthesis via Level-Asynchronous Graph Neural Networks

    Sep 3, 2026Jingyi Zhou, Zhengyuan Shi, Ziyang Zheng +1Electronic Design AutomationAnd Mixed-Signal Circuits

  32. Geometry-Aware Graph Construction via Adaptive Spectral Bandwidth Control

    Sep 3, 2026Ecem Bozkurt, Antonio OrtegaGraph LearningStatistical Manifold

  33. Feasible but Not Safe: Constraint Violations and Report-Channel Attacks in Learned Cell-Free ISAC Association

    Sep 2, 2026Mehdi Zafari, Iman Mohammadi, A. Lee SwindlehurstFeasibilityWireless Networks

  34. Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts

    Sep 2, 2026Abhishek Potnis, Jacob ArndtGraph Neural NetworksVessels

  35. TRACE: Spatiotemporal Contact Memory Graph Network Simulator for Granular Dynamics

    Sep 2, 2026Changjian Zhou, Negin Yousefpour, Jie Qi +3Edge-Sdf ContactsPhysics Simulation

  36. From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning

    Sep 2, 2026Rémi Bourgerie, Šarūnas Girdzijauskas, Viktoria FodorFederated Graph LearningGraph Learning

  37. HyGRAIL: Cost-Aware and Evidence-Grounded Scientific Hypothesis Discovery over Knowledge Graphs

    Sep 2, 2026Yihang Sun, Zhihan Zhu, Zhiyuan Jiang +3Knowledge GraphsHypothesis Generation

  38. Refining Heuristic-Based Bitcoin Address Clustering with Graph Neural Networks

    Sep 1, 2026Hugo Schnoering, Roman Bresson, Michalis VazirgiannisBlockchainClustering

  39. Edge-Girth as a Structural Edge Feature for Graph Neural Networks

    Sep 1, 2026Lilian Marey, Charlotte LaclauGraph Neural NetworksMolecular Descriptors

  40. Athena: Vulnerability-Affected Library Identification via Knowledge Graph Completion

    Sep 1, 2026Phong Trinh Duy, Trang Dang Yen, Hung Nguyen-Huu +5Vulnerability Detection & RepairKnowledge Graph Completion

  41. MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks

    Sep 1, 2026Ziyan Liu, Chengshuai Zhao, Huan LiuGraph LearningMachine Unlearning

  42. Why Multi-Layer Message Passing Works: Completeness Theory for Graph Neural Network Interatomic Potentials

    Sep 1, 2026Pingbing Ming, Han WangInteratomic PotentialsMessage Passing Neural Networks

  43. MolLedger: An Additive Graph Neural Network with Chemically Grounded ADME Attributions

    Aug 31, 2026Christina X. JiMolecular Property PredictionDrug-Drug Interactions

  44. Beamforming Design Via GNN in mmWave Cell-Free Massive MIMO Using Sub-6 GHz CSI

    Aug 31, 2026Sina Tavakolian, Abolfazl Zakeri, Ahmed Alkhateeb +2Orthogonal Frequency-Division MultiplexingBeamforming

  45. ToxLens: A Reproducible Graph-Learning Framework for Leakage-Aware, Uncertainty-Calibrated Molecular Toxicity Prediction

    Aug 31, 2026Magnus H. Strømme, Alex G. C. de Sá, David B. AscherToxicityDrug-Drug Interactions

  46. TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information

    Aug 31, 2026Dain Kwon, Kanghyun Choi, Hyeyoon Lee +4Post-Training QuantizationQuantization

  47. Converse and Collision-Based Achievability for Node Localization with Hybrid Distance-Spectral Graph Positional Encodings

    Aug 31, 2026Zimo Yan, Yifan Li, Hao Li +4Positional EncodingGraph Laplacians

  48. Graph4BiLO: Graph Neural Network Approximation for Bilevel Mixed-Integer Linear Optimization

    Aug 31, 2026Jessica D. Elrefaei, Kaixun Hua, Seungbae Kim +2Bilevel OptimizationMixed-Integer Linear Programming

  49. ButterMamba: Butterworth-Enhanced Spatial-Temporal Mamba for Efficient Traffic Flow Prediction

    Aug 30, 2026Limiao Zhang, Yuhui Lu, Jie Gao +3Accurate Traffic ForecastingTemporal Graph Neural Networks

  50. Hyper-Fold: Exploring the Expressive Limit of Sequence-Geometry Learning for Proteins via Hypergraph Modeling

    Aug 29, 2026Yifan Feng, Guanjie Cheng, Shihui Ying +2ProteinGeometric Machine Learning

  51. Discovering Efficient and Explainable Communication Topologies for LLM-based Multi-Agent Systems via Causal Inference

    Aug 13, 2026Junzhi Li, Peng He, Qirui Ji +3Communication TopologiesInformation-Flow Control

  52. EGRL: Edge generation-guided relation-aware learning for RNA-protein interaction prediction

    Aug 13, 2026Danyu Li, Ling Zhou, Rubing Huang +3ProteinGraph Neural Networks

  53. Difference-of-Convex Regularization for Graph Learning by Differentiable Programming

    Aug 13, 2026Liping Tao, Chee Wei TanGraph LaplaciansGraph Learning

  54. Exploring Oversmoothing with Householder Matrices

    Aug 12, 2026Bhaskar KarolGraph Neural NetworksSpectral Norm

  55. Dual Spatial-Temporal Attribution: Architecture-Aligned Post-Hoc Explainability for Recurrent Graph Anomaly Detection

    Aug 12, 2026Iyad Assaad Nekka, Hamida Seba, Khaled Walid Hidouci +1Generalist Graph Anomaly DetectionGraph Structure

  56. Faithful, Sufficient and Understandable: Rethinking Graph Counterfactual Explanations via Discrete Diffusion Inversion

    Aug 12, 2026David Bechtoldt, Sidney BenderCounterfactual ExplanationGraph Neural Networks

  57. Defending against Model Extraction for GNNs with Model Reprogramming

    Aug 11, 2026Yan Wen, Zhenyi Wang, Heng HuangGraph Neural NetworksRelation Extraction

  58. AutoGrable: What Is a Good Graph for a Table?

    Aug 11, 2026Tamara Cucumides, Floris GeertsGraph LearningTable

  59. 3D Weighted Geometric Graph Neural Networks for Sheep Facial Pain Assessment

    Aug 11, 2026Alam Noor, Luis Almeida, Mohamed DaoudiFacial Expression Recognition3D Convolutional Neural Networks

  60. GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care

    Aug 11, 2026Ruirui Wang, Yanke Li, Manuel Günther +1Intensive Care UnitTime Series