Message Passing Neural Networks

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  1. Scalable GNN-based Knowledge Graph Representation Learning with Efficient Message Passing

    Sep 28, 2026Huu Tan Mai, Cuong Xuan Chu, Heiko Paulheim +1Graph Neural NetworksKnowledge Graph Embeddings

  2. Reachability is not enough: Diagnosing long-range behavior in GNNs

    Sep 27, 2026Filippo Maria BianchiGraph Neural NetworksMessage Passing Neural Networks

  3. Learning and interpreting policies for simultaneous entanglement requests in quantum networks

    Sep 24, 2026Leon Rode, Sumeet Khatri, Supartha PodderEntanglementMessage Passing Neural Networks

  4. Direct Message Approximation (DMA): A Consistency-Based Framework for Tractable Approximate Inference on Factor Graphs

    Sep 24, 2026Ralf Herbrich, Rainer Schlosser, Jan Lemcke +11Message Passing Neural NetworksProbabilistic Inference

  5. GPEvac: GNN-Based PPO for Adaptive Evacuation Routing During Shooting Events

    Sep 14, 2026Daniel Perkins, Subhadeep ChakrabortyMessage Passing Neural NetworksVideo Surveillance

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

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

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

    Aug 11, 2026Tamara Cucumides, Floris GeertsTabular DataMessage Passing Neural Networks

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

    Aug 11, 2026Yan Wang, Chuan-Xian RenMessage Passing Neural NetworksInhomogeneous Random Graphs

  9. HOPPER: Learnable Hop Extraction for Linearized Graph Sequence Models

    Aug 10, 2026Isuru Herath, Arin Gopakumar, Sharan SahuMessage Passing Neural NetworksSequence Modeling

  10. DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing

    Aug 3, 2026Sagnik Nandy, Samriddha Lahiry, Pragya Sur +1Message Passing Neural Networks

  11. RAMP: Recognition parametrisation by Amortised Message Passing

    Jul 21, 2026Lior Fox, Kai Biegun, James Heald +31B ParametersLatent Variable

  12. A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment

    Jul 20, 2026Nikola Pižurica, Matteo Risso, Nikola Milović +4Bayesian InferenceResource-Constrained Edge Devices

  13. Distance-Preserving Embeddings in Inhomogeneous Random Graphs

    Jul 11, 2026My Le, Luana Ruiz, Souvik DharaInhomogeneous Random GraphsMessage Passing Neural Networks

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

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

  15. Message Passing Enables Efficient Reasoning

    Jul 1, 2026Xuecheng Liu, Daman Arora, Gokul Swamy +1LLM Reasoning StrategiesInference-Time

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

    Jun 26, 2026Andrea Montanari, Kangjie ZhouEmpirical Risk MinimizationHigh-Dimensional

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

    Jun 21, 2026Junshu Sun, Wanxing Chang, Qingming Huang +1Message Passing Neural NetworksTest Time

  18. Enhanced Graph Neural Networks using K-Hop Gaussian Diffusion

    Jun 16, 2026Xuling Zhang, Peng Wang, Daiyan Li +3Graph Neural NetworksMessage Passing Neural Networks

  19. PAC-Bayesian Adversarially Robust Generalization for Message Passing Graph Neural Networks: A Sensitivity Analysis

    Jun 4, 2026Ziling Liang, Xinping Yi, Qingsong Wen +1Graph Neural NetworksMessage Passing Neural Networks

  20. Learn When and Where to Connect: Adaptive Virtual Nodes for Dynamic Message Passing on Graphs

    Jun 2, 2026Jaejun Lee, Joyce Jiyoung WhangMessage Passing Neural Networks

  21. Easy, robust approximate message passing for planted spike models

    May 30, 2026Misha Ivkov, Tselil SchrammPrincipal Component AnalysisMessage Passing Neural Networks

  22. What drives performance in molecular MPNNs? An operator-level factorial benchmark

    May 28, 2026Panyu Jiao, Shuizhou Chen, Yiheng Shen +3Message Passing Neural NetworksMolecular Property Prediction

  23. Sampling Triangulations and Calabi-Yau Threefolds with Autoregressive GNNs

    May 26, 2026Nate MacFaddenTriangulationsPolytopes

  24. GraphReview: Scientific Paper Evaluation via LLM-Based Graph Message Passing

    May 26, 2026Pujun Zheng, Wanying Ren, Jiacheng Yao +2Peer ReviewMessage Passing Neural Networks

  25. Invariant-Based Weight Sharing for Message Passing

    May 25, 2026Florian SeiffarthMessage Passing Neural Networks

  26. Evaluating passing decision-making in professional football: An enhanced MPNN approach to Receiver Selection

    May 25, 2026Gabriel Masella, Giuseppe Alessio D'Inverno, Max Goldsmith +1Message Passing Neural NetworksGraph Neural Networks

  27. S3^3GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning

    May 22, 2026Dai Shi, Luke Thompson, Linhan Luo +4Message Passing Neural NetworksGnn-Based Detectors

  28. Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion

    May 22, 2026Jaejun Lee, Seheon Kim, Joyce Jiyoung WhangKnowledge GraphsHypergraphs

  29. Patch Hierarchical Attention Transformer for Efficient Particle Jet Tagging

    May 20, 2026Aaron Wang, Zihan Zhao, Alan Xia +5Transformer AttentionTransformer Architectures

  30. Learning over Positive and Negative Edges with Contrastive Message Passing

    May 18, 2026Peter Pao-Huang, Charilaos I. Kanatsoulis, Michael Bereket +1Message Passing Neural NetworksGraph Representations

  31. STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning

    May 12, 2026Zekai Chen, Xun Wu, Xunkai Li +3Federated Graph LearningMessage Passing Neural Networks

  32. The Polynomial Counting Capabilities of Message Passing Neural Networks

    May 11, 2026Marco Sälzer, Pascal Bergsträßer, Anthony W. LinMessage Passing Neural NetworksLogic

  33. Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations

    May 10, 2026Jiyeon Kim, Youngjoon Hong, Won-Yong ShinGenerative Super-ResolutionMessage Passing Neural Networks

  34. Improving Generalization by Permutation Routing Across Model Copies

    May 10, 2026Shuhei Kashiwamura, Timothee LeleuMessage Passing Neural NetworksMultilayer Perceptrons

  35. Geometry-Aware Simplicial Message Passing

    May 7, 2026Elena Xinyi Wang, Bastian RieckSimplexGeometry-Aware

  36. Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing

    Apr 30, 2026Max LovigDescent1B Parameters

  37. L1 Regularization Paths in Linear Models by Parametric Gaussian Message Passing

    Apr 18, 2026Yun-Peng Li, Hans-Andrea LoeligerLassoRegularization

  38. Local Message-Passing for Discrete Graph Generation

    Mar 9, 2026Jay Revolinsky, Harry Shomer, Jiliang TangPhysics-Guided DiffusionGnn-Based Detectors

  39. Learning to Approximate Uniform Facility Location via Graph Neural Networks

    Feb 13, 2026Chendi Qian, Christopher Morris, Stefanie Jegelka +1Approximation AlgorithmsMessage Passing Neural Networks

  40. 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

  41. Graph Unitary Message Passing

    Mar 17, 2024Haiquan Qiu, Quanming YaoMessage Passing Neural NetworksGraph Neural Networks

  42. On Universality of Non-Separable Approximate Message Passing Algorithms

    Date pendingMax Lovig, Tianhao Wang, Zhou FanApproximationMessage Passing Neural Networks