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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1,049 papers

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  1. Transferable FB-GNN-MBE Framework for Potential Energy Surfaces: Data-Adaptive Transfer Learning in Deep Learned Many-Body Expansion Theory

    Apr 10, 2026Siqi Chen, Zhiqiang Wang, Yili Shen +8Many-Body PhysicsGraph Neural Networks

  2. Towards Predicting Multi-Vulnerability Attack Chains in Software Supply Chains from Software Bill of Materials Graphs

    Apr 4, 2026Laura Baird, Armin MoinVulnerability Detection & RepairHeterogeneous Graph Transformers

  3. Crystalite: A Lightweight Transformer for Efficient Crystal Modeling

    Apr 2, 2026Tin Hadži Veljković, Joshua Rosenthal, Ivor Lončarić +1Crystal StructureMultimodal Diffusion Transformers

  4. SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease

    Mar 20, 2026Ruiying Chen, Yutong Wang, Houliang Zhou +3AlzheimerNeural Ordinary Differential Equations

  5. Dual Path Attribution: Efficient Attribution for SwiGLU-Transformers through Layer-Wise Target Propagation

    Mar 20, 2026Lasse Marten Jantsch, Dong-Jae Koh, Seonghyeon Lee +1Transformer AttentionModel Activations

  6. VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation

    Mar 19, 2026Chinmay Prabhakar, Bastian Wittmann, Tamaz Amiranashvili +6Graph Representation LearningAnatomy

  7. WarPGNN: A Parametric Thermal Warpage Analysis Framework with Physics-aware Graph Neural Network

    Mar 19, 2026Haotian Lu, Jincong Lu, Sachin Sachdeva +1Graph Neural NetworksChip Design

  8. Lost in Aggregation: On a Fundamental Expressivity Limit of Message-Passing Graph Neural Networks

    Mar 16, 2026Eran RosenbluthMessage Passing Neural NetworksGraph Neural Networks

  9. GNN-DIP: Neural Corridor Selection for Decomposition-Based Motion Planning

    Mar 12, 2026Peng Xie, Yanliang Huang, Wenyuan Wu +1Travel TimeShortest Paths

  10. Estimating condition number with Graph Neural Networks

    Mar 10, 2026Erin Carson, Xinye ChenGraph Neural NetworksSpectral Preconditioning

  11. Local Message-Passing for Discrete Graph Generation

    Mar 9, 2026Jay Revolinsky, Harry Shomer, Jiliang TangMessage Passing Neural NetworksDenoising Diffusion Probabilistic Model

  12. AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection

    Mar 9, 2026Zhishu Liu, Kaishen Yuan, Bo Zhao +2Facial Expression RecognitionGraph Neural Networks

  13. Generating adversarial inputs for a graph neural network model of AC power flow

    Feb 20, 2026Robert ParkerAc Optimal Power FlowNeural Network Verification

  14. Use What You Know: Causal Foundation Models with Partial Graphs

    Feb 16, 2026Arik Reuter, Anish Dhir, Cristiana Diaconu +6Causal Foundation ModelsCausal Graph

  15. Learning Structural Hardness for Combinatorial Auctions: Instance-Dependent Algorithm Selection via Graph Neural Networks

    Feb 16, 2026Sungwoo KangCombinatorial OptimizationGraph Neural Networks

  16. Incremental (k, z)-Clustering on Graphs

    Feb 9, 2026Emilio Cruciani, Sebastian Forster, Antonis SkarlatosImage ClusteringMaximum Independent Set

  17. Improved Upper Bounds for Slicing the Hypercube

    Feb 6, 2026Duncan Soiffer, Nathaniel Itty, Christopher D. Rosin +5SlicesUpper Bounds

  18. DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks

    Feb 3, 2026Aijie Shu, Wenbin Wu, Gbenga Ibikunle +1Decentralized FinanceCredit Risk Prediction

  19. Breaking the Reasoning Horizon in Entity Alignment Foundation Models

    Jan 29, 2026Yuanning Cui, Zequn Sun, Wei Hu +2Graph Foundation ModelKnowledge Graphs

  20. Graph Neural Networks are Heuristics

    Jan 19, 2026Yimeng Min, Carla P. GomesGraph Neural NetworksCombinatorial Optimization

  21. Graph Regularized PCA

    Jan 15, 2026Antonio Briola, Marwin Schmidt, Fabio Caccioli +4Principal Component AnalysisGraph Representation Learning

  22. Enabling Population-Based Architectures for Neural Combinatorial Optimization

    Jan 13, 2026Andoni Irazusta Garmendia, Josu Ceberio, Alexander MendiburuMetaheuristicsNeural Network Optimization

  23. Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression

    Jan 13, 2026Zijun Di, Bin Lu, Huquan Kang +5Text-Attributed GraphLarge Language Model Reasoning

  24. A General Neural Backbone for Mixed-Integer Linear Optimization via Dual Attention

    Jan 8, 2026Peixin Huang, Yaoxin Wu, Yining Ma +3Mixed-Integer ProgrammingCombinatorial Optimization

  25. Provably Finding a Hidden Dense Submatrix among Many Planted Dense Submatrices via Convex Programming

    Jan 7, 2026Valentine Olanubi, Phineas Agar, Brendan AmesMaximum Independent SetSemidefinite Programming

  26. Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs

    Dec 20, 2025David Graber, Victor Armegioiu, Rebecca Buller +1Out-Of-Distribution DetectionMolecular Graphs

  27. Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits

    Dec 16, 2025Michael Murray, Tenzin Chan, Kedar Karhadker +1Hopfield NetworksSymmetry

  28. Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates

    Dec 10, 2025Prashant Kumar Choudhary, Nouhaila Innan, Muhammad Shafique +1Variational Quantum CircuitsQuantum Circuit Simulation

  29. High-Dimensional Change Point Detection via Graph Spanning Ratio

    Dec 8, 2025Katerina Papagiannouli, Yang-wen Sun, Vladimir SpokoinyChange-Point DetectionChange Detection

  30. Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning

    Nov 30, 2025Dongyue Li, Zhenshuo Zhang, Minxuan Duan +2Graph Neural NetworksReasoning Benchmark

  31. A Fast Binary Splitting Approach for Non-Adaptive Learning of Erdős--Rényi Graphs

    Nov 21, 2025Hoang Ta, Jonathan ScarlettExponential Random Graph ModelsGraph Representation Learning

  32. FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation

    Nov 17, 2025Aleksandar Stanković, Haoran Du, Xinming WangKnowledge Graph EmbeddingsSubgraphs

  33. Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing

    Nov 14, 2025Brian Godwin Lim, Galvin Brice Lim, Renzo Roel Tan +2Graph Neural NetworksMessage Passing Neural Networks

  34. Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems

    Oct 23, 2025Fiza Husain, Anson Bastos, Anjaly Parayil +4CloudLong-Range Temporal Dependencies

  35. PRGCN: A Graph Memory Network for Cross-Sequence Pattern Reuse in 3D Human Pose Estimation

    Oct 22, 2025Zhuoyang Xie, Yibo Zhao, Hui Huang +23D Pose EstimatorGraph Representation Learning

  36. The Marked Edge Walk: A Novel MCMC Algorithm for Sampling of Graph Partitions

    Oct 20, 2025Atticus McWhorter, Daryl DeFordExponential Random Graph ModelsMarkov Chain Monte Carlo

  37. CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score

    Oct 10, 2025Erik Larsson, Joel Oskarsson, Tomas Landelius +1Discrete Diffusion ModelSmall Models

  38. What Do Temporal Graph Learning Models Learn?

    Oct 10, 2025Abigail J. Hayes, Tobias Schumacher, Markus StrohmaierTemporal GraphsGraph Representation Learning

  39. Computationally-efficient Graph Modeling with Refined Graph Random Features

    Oct 9, 2025Krzysztof Choromanski, Avinava Dubey, Arijit Sehanobish +1Graph Representation LearningKernel Method

  40. Root Cause Analysis of Outliers in Unknown Cyclic Graphs

    Oct 8, 2025Daniela Schkoda, Dominik JanzingCausal GraphRoot Cause Analysis

  41. Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity

    Oct 4, 2025Lutz Oettershagen, Othon MichailMaximum Independent SetFinite-Sample Coverage Guarantees

  42. Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm

    Sep 29, 2025Yunhao Liang, Pujun Zhang, Yuan Qu +3Graph Foundation ModelCombinatorial Optimization

  43. OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling

    Sep 28, 2025Jihu Guo, Tenghui Ma, Wei Gao +6ParallelPartitioning

  44. GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning

    Sep 28, 2025Fanlong Zeng, Wensheng Gan, Kangjie Chen +1Extreme Class ImbalanceGraph Representation Learning

  45. Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing

    Sep 26, 2025Liangyu Ding, Chenghan Wu, Guokai Li +1PricesGraph Neural Networks

  46. GraphPFN: A Prior-Data Fitted Graph Foundation Model

    Sep 25, 2025Dmitry Eremeev, Oleg Platonov, Gleb Bazhenov +2Graph Foundation ModelGraph Neural Networks

  47. Graph Coloring for Multi-Task Learning

    Sep 21, 2025Santosh Patapati, Ian NoronhaMulti--Task LearningGraph Representation Learning

  48. GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2

    Sep 17, 2025Savini Kashmira, Jayanaka Dantanarayana, Thamirawaran Sathiyalogeswaran +3PytorchHeterogeneous Graph Transformers

  49. Learning Contact Dynamics through Touching: Action-conditional Graph Neural Networks for Robotic Peg Insertion

    Sep 15, 2025Zongyao Yi, Joachim Hertzberg, Martin AtzmuellerContact ForcesContact-Rich Manipulation

  50. Alternative Graph Neural Networks: Synergizing GEV Models and Deep Learning for Travel Mode Choice Modeling

    Sep 8, 2025Yuqi Zhou, Zhanhong Cheng, Dingyi Zhuang +3Discrete Choice ModelsGraph Neural Networks

  51. Turning Tabular Foundation Models into Graph Foundation Models

    Aug 28, 2025Dmitry Eremeev, Gleb Bazhenov, Oleg Platonov +2Graph Foundation ModelTabular Foundation Models

  52. RF-Informed Graph Neural Networks for Accurate and Data-Efficient Circuit Performance Prediction

    Aug 22, 2025Anahita Asadi, Leonid Popryho, Inna Partin-VaisbandAnd Mixed-Signal CircuitsRadio Frequency

  53. Instance-Aware Algorithm Selection for Maximum Clique via a Dual-Channel Graph Neural Architecture

    Aug 11, 2025Xiang Li, Shanshan Wang, Chenglong XiaoMaximum Independent SetGraph Neural Networks

  54. Evaluating Out-of-Distribution Robustness in Graph-Based Android Malware Classification: A New Principled Benchmark

    Aug 8, 2025Ngoc N. Tran, Anwar Said, Waseem Abbas +2Malware DetectionOut-Of-Distribution Detection

  55. FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting

    Jul 24, 2025Zhongzheng Yuan, Lianshuai Guo, Xunkai Li +3Federated Graph LearningGraph Representation Learning

  56. Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Networks with Group Lasso Regularization

    Jul 4, 2025Zanyu Shi, Yang Wang, Pathum M. Weerawarna +4Structure-Based Drug DesignDrug Discovery

  57. Macro Graph of Experts for Billion-Scale Multi-Task Recommendation

    Jun 12, 2025Hongyu Yao, Zijin Hong, Hao Chen +6Multimodal RecommendationLarge-Scale Recommendation Systems

  58. Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming

    Jun 2, 2025Haruki Yokota, Hiroshi Higashi, Yuichi Tanaka +1Graph LaplaciansGraph Representation Learning

  59. Freeze, Prompt, and Adapt: A Framework for Source-free Unsupervised GNN Prompting

    May 22, 2025Peyman Baghershahi, Sourav MedyaGraph Neural NetworksPrompt Tuning

  60. Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings

    May 19, 2025Adrien Lagesse, Marc LelargeGraph Neural NetworksExponential Random Graph Models