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. CAST: Canonical Approximate Schur Tree for Approximate Cholesky on Graphs

    Sep 8, 2026Meher Chaitanya, Cameron Musco, Aristides GionisExponential Random Graph ModelsSpectral Preconditioning

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

    Sep 8, 2026Jonathan Frank, David Richerby, Ansgar ScherpGraph Foundation ModelText-Attributed Graph

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

    Sep 8, 2026Yumeng Dai, Yue Tan, Yixin Liu +3Graph HomophilyOpen-Set Recognition

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

    Sep 8, 2026Siyuan Li, Taiyan Lang, Aoqi Yan +6Embodied AgentsHierarchical Graph Memory

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

    Sep 8, 2026Longfei Ma, Zemin Liu, Fei WuTemporal GraphsTemporal Graph Neural Networks

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

    Sep 8, 2026Meng Qin, Jinqiang Cui, Hongwei Zheng +2Graph Representation LearningEmbedding Dimension

  7. αα-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling

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

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

    Sep 7, 2026Joe Bacchus George, George T. CantwellGraph Neural NetworksTwo-Dimensional Ising Model

  9. Agentic Algorithm Engineering: Improving Shared-Memory Exact Minimum Cuts

    Sep 7, 2026David A. Bader, Adil Chhabra, Ernestine Großmann +3Maximum Independent SetClassical Solvers

  10. Where to Look and What to Use: Retrieve-Localize-Generate for Long-Term Conversational Memory Question Answering

    Sep 7, 2026Yifan Wang, Xinkui Lin, Yongxiu Xu +9Long-Term Conversational MemoryExplicit Memory

  11. 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 PollutionTemporal Graph Neural Networks

  12. A Cost-Aware Agentic Architecture for NL-to-SQL over Nested Enterprise Schemas, with a New Benchmark

    Sep 7, 2026Yoga Sri Varshan Varadharajan, Ajay Yadav, Ritesh Goru +5Text-To-SqlSchema

  13. Parameterised graph theory for tensor networks: entanglement rerouting, structural simplification, and agnostic tomography

    Sep 3, 2026Matthias C. Caro, Natalie McHugh, Sergii StrelchukTensor NetworksGraph Theory

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

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

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

    Sep 3, 2026Jingyi Zhou, Zhengyuan Shi, Ziyang Zheng +1High-Level SynthesisAnd Mixed-Signal Circuits

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

    Sep 3, 2026Ecem Bozkurt, Antonio OrtegaKernel MethodManifold Learning Method

  17. What is Smoothness?

    Sep 3, 2026Zachary P BradshawFinite GroupsRepresentation Space

  18. B2B Customer Conversion Prediction: A Document Representation, Graph Theory, and CatBoost Driven Methodology

    Sep 3, 2026Tianqi Wang, Sheikh Shams Azam, Wan Eih Huang +3Churn PredictionClick-Through Rate Prediction

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

    Sep 2, 2026Mehdi Zafari, Iman Mohammadi, A. Lee SwindlehurstIntegrated Sensing And CommunicationStructural Constraints

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

    Sep 2, 2026Abhishek Potnis, Jacob ArndtGraph Neural NetworksGeospatial

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

    Sep 2, 2026Changjian Zhou, Negin Yousefpour, Jie Qi +3Contact ForcesFinite Element Method

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

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

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

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

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

    Sep 1, 2026Hugo Schnoering, Roman Bresson, Michalis VazirgiannisGraph Neural NetworksAnonymization

  25. Relational-Core Graph Analytics Querying graphs at SQL scale, and why the node/edge model is a performance tax, not a truer picture of connected data

    Sep 1, 2026Gene ZhangCode Property GraphsGraph Representations

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

    Sep 1, 2026Lilian Marey, Charlotte LaclauGraph Neural NetworksGraph Theory

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

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

  28. SMG: Semantic Motion Graph for Monocular Dynamic Gaussian Splatting

    Aug 31, 2026Haozheng Yu, Xinyu Yang, Rundong Luo +2Gaussian SplattingScene Complexity

  29. Exponential random graph models with soft clique constraints

    Aug 31, 2026Yasmin Tousinejad, Vera KoponenExponential Random Graph ModelsMaximum Independent Set

  30. BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs

    Aug 31, 2026Debarpan Bhattacharya, Malay Phadke, Sriram GanapathyLarge Language Model UncertaintyBelief

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

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

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

    Aug 31, 2026Sina Tavakolian, Abolfazl Zakeri, Ahmed Alkhateeb +2BeamformingChannel State Information

  33. 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

  34. Hi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering

    Aug 31, 2026Jueun Kim, Sungho Park, Wook-Shin HanMulti-Hop ReasoningMultimodal Query

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

    Aug 31, 2026Dain Kwon, Kanghyun Choi, Hyeyoon Lee +4Weight-Only QuantizationQuantization

  36. Strengthening Recursive Constructions for Zero-Error Shannon Capacity

    Aug 31, 2026Ravi TandonInformation-Theoretic LimitsMaximum Independent Set

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

    Aug 31, 2026Zimo Yan, Yifan Li, Hao Li +4Positional EncodingPrecise Localization

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

    Aug 31, 2026Jessica D. Elrefaei, Kaixun Hua, Seungbae Kim +2Bilevel OptimizationGraph Neural Networks

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

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

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

    Aug 29, 2026Yifan Feng, Guanjie Cheng, Shihui Ying +2Protein Data BankProtein

  41. Decentralized Multitask Learning over Learned Task Graphs

    Aug 27, 2026Zirui Wan, Stefan VlaskiGraph Representation LearningMulti--Task Learning

  42. Query-Side Attacks on GNN-Based KGQA: Tracing Failures from Entity Linking to Answer Generation

    Aug 26, 2026Pankaj Kumar, Subhankar MishraGnn-Based Detectors

  43. M-Fibration Theory with Applications to Weighted Graphs

    Aug 26, 2026Paolo Boldi, Osvaldo M. Velarde, Hernan A. MakseGraph TheoryAlgebraic Structures

  44. Novel Knowledge-Guided Generative Methods for Synthetic Transcriptomic Data

    Aug 13, 2026Francesca Pia Panaccione, Sofia Mongardi, Marco Masseroli +1Spatial TranscriptomicsSynthetic Data

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

    Aug 13, 2026Junzhi Li, Peng He, Qirui Ji +3Multi-Agent SystemsCommunication Efficiency

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

    Aug 13, 2026Danyu Li, Ling Zhou, Rubing Huang +3Messenger RnaProtein

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

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

  48. The Boolean Power of ReLU

    Aug 12, 2026Pablo Barceló, Floris Geerts, Matthias Lanzinger +2Rectified Linear UnitGraph Representations

  49. Exploring Oversmoothing with Householder Matrices

    Aug 12, 2026Bhaskar KarolGraph Neural NetworksSpectral Norm

  50. 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 Representations

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

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

  52. Defending against Model Extraction for GNNs with Model Reprogramming

    Aug 11, 2026Yan Wen, Zhenyi Wang, Heng HuangGraph Neural NetworksSingguard-Nsfa

  53. Dual-Primal Graph VAEs for Noisy Label Aggregation

    Aug 11, 2026Patrick Stinson, Nikolaus KriegeskorteNoisy LabelsVariational Autoencoder

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

    Aug 11, 2026Tamara Cucumides, Floris GeertsGraph RepresentationsTabular Data

  55. 3D Weighted Geometric Graph Neural Networks for Sheep Facial Pain Assessment

    Aug 11, 2026Alam Noor, Luis Almeida, Mohamed DaoudiGeometric Deep Learning3D Convolutional Neural Networks

  56. Spectral Embeddings of Degree-αα Laplacians in Random Dot Product Graphs

    Aug 11, 2026John Park, Ning HaoGraph LaplaciansImage Clustering

  57. ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes

    Aug 11, 2026Ziyan Wang, Liwen Wu, Cheng Xie +3Generalist Graph Anomaly DetectionText-Attributed Graph

  58. Pair-Centric Graph Rewiring for Over-Squashing via Optimal Transport-Guided Communication Alignment

    Aug 11, 2026Yan Wang, Chuan-Xian RenMessage Passing Neural NetworksMitigation

  59. Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference

    Aug 10, 2026Burc GokdenHeterogeneous Graph TransformersLarge Language Model Decoder

  60. LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN

    Aug 10, 2026Killian Cressant, Pedro B. VellosoGraph Neural NetworksMultiple Centrality Measures