Learning Mesh-Based Simulation with Graph Networks | Paper Citation Record

Observation 39ad2c8a-692c-4677-b52c-5619770e6394 · inbound

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Learning Mesh-Based Simulation with Graph Networks

Reference 64

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Observation 0fb8c5d1-eea5-4a0b-b32d-28461fa5691c · inbound

UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments cites this paper.

UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments Learning Mesh-Based Simulation with Graph Networks

Reference 13

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Observation 9dd3a7d8-f54d-4ffb-a73f-bb0cafdc9d9a · inbound

Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network cites this paper.

Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network Learning Mesh-Based Simulation with Graph Networks

Reference 14

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Observation 5b937afc-4933-4dc3-9449-45d138f625e6 · inbound

Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers cites this paper.

Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Learning Mesh-Based Simulation with Graph Networks

Reference 48

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Observation d9a8ce07-f504-4de5-98d4-2718f89c3059 · inbound

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation cites this paper.

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation Learning Mesh-Based Simulation with Graph Networks

Reference 3

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Observation da0a5468-1062-40ca-95c6-485372094d38 · inbound

Graph Neural Network for Cerebral Blood Flow Prediction With Clinical Datasets cites this paper.

Graph Neural Network for Cerebral Blood Flow Prediction With Clinical Datasets Learning Mesh-Based Simulation with Graph Networks

Reference 16

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Observation 991e11ff-95cf-4bbc-958c-cc88c35131d6 · inbound

A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions cites this paper.

A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions Learning Mesh-Based Simulation with Graph Networks

Reference 37

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Observation 3602e012-de46-431b-8fa4-15bd6a0bb22b · inbound

Nonlinear Reduced-Order Modeling of Compressible Flow Fields Using Deep Learning and Manifold Learning cites this paper.

Nonlinear Reduced-Order Modeling of Compressible Flow Fields Using Deep Learning and Manifold Learning Learning Mesh-Based Simulation with Graph Networks

Reference 42

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Observation 5df68785-82b2-4e96-9cf3-3bbb54d61225 · inbound

Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates cites this paper.

Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates Learning Mesh-Based Simulation with Graph Networks

Reference 38

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Observation eeaaf57d-a95e-4ceb-b174-2592d2153cf5 · inbound

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations cites this paper.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Learning Mesh-Based Simulation with Graph Networks

Reference 2020

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Observation 2c305685-4ec4-49cb-9977-ab74c8cfc2a7 · inbound

Incremental Hierarchical Tucker Decomposition cites this paper.

Incremental Hierarchical Tucker Decomposition Learning Mesh-Based Simulation with Graph Networks

Reference 33

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Observation 0a9d0748-1b56-42fe-a68d-b42e4e6eb5b8 · inbound

A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization cites this paper.

A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Learning Mesh-Based Simulation with Graph Networks

Reference 63

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Observation 9a36a13a-23f3-45b7-a51b-b04bb05f65f0 · inbound

Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows cites this paper.

Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows Learning Mesh-Based Simulation with Graph Networks

Reference 21

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Observation 84e02e7a-1ea0-4c79-97a3-d6a82dc7f301 · inbound

Data-Driven Radio Propagation Modeling using Graph Neural Networks cites this paper.

Data-Driven Radio Propagation Modeling using Graph Neural Networks Learning Mesh-Based Simulation with Graph Networks

Reference 9

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Observation f056ff42-f3d7-4274-b412-5378a9dba1a4 · inbound

PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks cites this paper.

PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks Learning Mesh-Based Simulation with Graph Networks

Reference 4

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Observation 9805421c-daf0-4f17-bf2e-73c1f94d7ac7 · inbound

DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations cites this paper.

DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations Learning Mesh-Based Simulation with Graph Networks

Reference 12

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Observation 9f06a9d7-c434-459e-b358-8b6159942025 · inbound

Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries cites this paper.

Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries Learning Mesh-Based Simulation with Graph Networks

Reference 72

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Observation e2800dd6-7b95-4fd5-ba99-7fd366230af0 · inbound

Graph Transformers for inverse physics: reconstructing flows around arbitrary 2D airfoils cites this paper.

Graph Transformers for inverse physics: reconstructing flows around arbitrary 2D airfoils Learning Mesh-Based Simulation with Graph Networks

Reference 49

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Observation 2b4cd92c-1d15-43e0-8873-3a0de7097601 · inbound

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction cites this paper.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Learning Mesh-Based Simulation with Graph Networks

Reference 16

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Observation 32819a7b-d320-4f89-91e1-723663b54508 · inbound

Rigid Body Adversarial Attacks cites this paper.

Rigid Body Adversarial Attacks Learning Mesh-Based Simulation with Graph Networks

Reference 73

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Observation 53f1f729-14b0-49e5-b5aa-66b9bb58740c · inbound

Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows cites this paper.

Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows Learning Mesh-Based Simulation with Graph Networks

Reference 9

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Observation 52224c97-1c70-42c1-8ea5-24b0e1f80239 · inbound

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model cites this paper.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Learning Mesh-Based Simulation with Graph Networks

Reference 3

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Observation cbecc1cc-3732-46f6-8daf-90dd2d66522a · inbound

Prototype-enhanced prediction in graph neural networks for climate applications cites this paper.

Prototype-enhanced prediction in graph neural networks for climate applications Learning Mesh-Based Simulation with Graph Networks

Reference 14

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Observation a72ea33f-b0b2-404b-a1dd-f998de4fec03 · inbound

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction cites this paper.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Learning Mesh-Based Simulation with Graph Networks

Reference 49

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Observation 6c658397-e6ee-47dc-8b00-6b0b4a412866 · inbound

PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems cites this paper.

PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems Learning Mesh-Based Simulation with Graph Networks

Reference 2016

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Observation 998fa4bd-90b0-47ad-8d40-f8335fe2dd9f · inbound

Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations cites this paper.

Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations Learning Mesh-Based Simulation with Graph Networks

Reference 23

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Observation 1eaf2d1d-36b6-4739-9790-8299dbd33a84 · inbound

AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening cites this paper.

AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening Learning Mesh-Based Simulation with Graph Networks

Reference 57

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Observation cc572888-542c-4dbd-926c-2c05ed6fbcaa · inbound

Dynamical Data for More Efficient and Generalizable Learning: A Case Study in Disordered Elastic Networks cites this paper.

Dynamical Data for More Efficient and Generalizable Learning: A Case Study in Disordered Elastic Networks Learning Mesh-Based Simulation with Graph Networks

Reference 41

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Observation 1e00c4c1-9471-4bbd-bc1b-7b09a9e7bf90 · inbound

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks cites this paper.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Learning Mesh-Based Simulation with Graph Networks

Reference 2007

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Observation 1a2ee893-78d5-4015-b3f4-3204b93fc321 · inbound

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System cites this paper.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Learning Mesh-Based Simulation with Graph Networks

Reference 57

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Observation 46d630ea-f290-4a9b-9550-a34c299b6e27 · inbound

SlotPi: Physics-informed Object-centric Reasoning Models cites this paper.

SlotPi: Physics-informed Object-centric Reasoning Models Learning Mesh-Based Simulation with Graph Networks

Reference 57

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Observation 6fe2b8c1-321a-4239-8306-cb707fe7a4c3 · inbound

PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling cites this paper.

PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling Learning Mesh-Based Simulation with Graph Networks

Reference 33

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Observation 94e5b0a7-fd25-465c-9dd5-c34f52b5a59e · inbound

Parallel Data Object Creation: Towards Scalable Metadata Management in High-Performance I/O Library cites this paper.

Parallel Data Object Creation: Towards Scalable Metadata Management in High-Performance I/O Library Learning Mesh-Based Simulation with Graph Networks

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T19:47:52.186794Z

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Observation 8e4ccf8e-a120-419d-8610-c19722e9a449 · inbound

Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming cites this paper.

Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming Learning Mesh-Based Simulation with Graph Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:44:48.588332Z

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Observation 5c784080-ed1f-4276-a5a7-baf6ceb0c4a8 · inbound

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale cites this paper.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Learning Mesh-Based Simulation with Graph Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:54.215287Z

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Observation f074ff74-db84-40d4-a83c-bb1770f75656 · inbound

Graph Neural Network Surrogates for Contacting Deformable Bodies with Necessary and Sufficient Contact Detection cites this paper.

Graph Neural Network Surrogates for Contacting Deformable Bodies with Necessary and Sufficient Contact Detection Learning Mesh-Based Simulation with Graph Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:00.373753Z

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Observation 3c5e53c4-e4c4-456d-b5fe-049d78052186 · inbound

Hybrid Physics-Machine Learning Models for Quantitative Electron Diffraction Refinements cites this paper.

Hybrid Physics-Machine Learning Models for Quantitative Electron Diffraction Refinements Learning Mesh-Based Simulation with Graph Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T23:06:28.217186Z

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Observation 1e862c9d-290f-4a2d-ab9d-411f31317b7c · inbound

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis cites this paper.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis Learning Mesh-Based Simulation with Graph Networks

Reference 7

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Observation e02dc04e-9e51-49dc-85bc-563c96b084d4 · inbound

M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations cites this paper.

M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations Learning Mesh-Based Simulation with Graph Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T17:48:35.444207Z

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Observation fe52706f-c26f-480c-a6f1-e51b1fb58dd5 · inbound

Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media cites this paper.

Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media Learning Mesh-Based Simulation with Graph Networks

Reference 10

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Observation 70cca519-1d23-4fce-aef5-63536d4e35bd · inbound

Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI cites this paper.

Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI Learning Mesh-Based Simulation with Graph Networks

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:11:21.621101Z

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Observation 3fb9f597-4314-4866-a761-9b98dc354674 · inbound

Bridging Data and Physics: A Graph Neural Network-Based Hybrid Twin Framework cites this paper.

Bridging Data and Physics: A Graph Neural Network-Based Hybrid Twin Framework Learning Mesh-Based Simulation with Graph Networks

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:30:28.033276Z

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Observation e8c91710-659f-4901-8f1c-d84d9a42debd · inbound

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network cites this paper.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Learning Mesh-Based Simulation with Graph Networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T14:34:15.070199Z

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Observation 6e92793a-4da3-42a3-9f52-6bdeaf604a7b · inbound

Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems cites this paper.

Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems Learning Mesh-Based Simulation with Graph Networks

Reference 13

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Observation e341c6e0-eb93-4ddf-8c87-d302594da359 · inbound

Toward an Operational GNN-Based Multimesh Surrogate for Fast Flood Forecasting cites this paper.

Toward an Operational GNN-Based Multimesh Surrogate for Fast Flood Forecasting Learning Mesh-Based Simulation with Graph Networks

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:33:10.206689Z

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Observation 7a96a111-41d6-4fec-a9d4-6ba133c9e7b3 · inbound

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks Learning Mesh-Based Simulation with Graph Networks

Reference 145

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:06.662927Z

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Observation c3393cf7-1f3a-4638-86ae-26dcbbdf98c3 · inbound

U-HNO: A U-shaped Hybrid Neural Operator with Sparse-Point Adaptive Routing for Non-stationary PDE Dynamics cites this paper.

U-HNO: A U-shaped Hybrid Neural Operator with Sparse-Point Adaptive Routing for Non-stationary PDE Dynamics Learning Mesh-Based Simulation with Graph Networks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:39:28.923102Z

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Observation 3b80a15d-3ffb-4569-b6fe-beaad9181790 · inbound

Discovering Physical Directions in Weight Space: Composing Neural PDE Experts cites this paper.

Discovering Physical Directions in Weight Space: Composing Neural PDE Experts Learning Mesh-Based Simulation with Graph Networks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:08:29.805506Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 20abac81-5164-4b18-a43b-e77812b046ad · inbound

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation cites this paper.

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation Learning Mesh-Based Simulation with Graph Networks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:42:39.825929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b523207f-55ac-494d-aefc-5c1f089b33bd · inbound

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation cites this paper.

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation Learning Mesh-Based Simulation with Graph Networks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:35:04.209761Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 16cf93a9-cba3-4f49-bd31-0f578a9027a7 · inbound

Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators cites this paper.

Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators Learning Mesh-Based Simulation with Graph Networks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:09:41.460248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 73a05d46-e12c-4369-a396-bd8e2987857d · inbound

Performance and Explainability Requirements of Evolutionary Algorithms in Real-World Physics-Informed Optimization cites this paper.

Performance and Explainability Requirements of Evolutionary Algorithms in Real-World Physics-Informed Optimization Learning Mesh-Based Simulation with Graph Networks

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:03:17.695251Z

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Observation e781f342-a2ca-4751-b06e-a73db5b899c8 · inbound

LEIA: Learned Environment for Interactive Architected Materials cites this paper.

LEIA: Learned Environment for Interactive Architected Materials Learning Mesh-Based Simulation with Graph Networks

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:43:29.087511Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 54572948-11f5-4b04-a910-66ddac0ee455 · inbound

Physically Viable World Models: A Case for Query-Conditioned Embodied AI cites this paper.

Physically Viable World Models: A Case for Query-Conditioned Embodied AI Learning Mesh-Based Simulation with Graph Networks

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:13:16.509055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9f744f2c-b2fb-44c4-95f1-eb54bc06d1fc · inbound

Learning and Inferring Multiphase Flow Dynamics in Porous Media using Scientific Machine Learning: Application to the "FluidFlower" CO2 Injection Experiment cites this paper.

Learning and Inferring Multiphase Flow Dynamics in Porous Media using Scientific Machine Learning: Application to the "FluidFlower" CO2 Injection Experiment Learning Mesh-Based Simulation with Graph Networks

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:06:56.327830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 795d75be-c542-4bcd-9bea-eef12dc844b0 · inbound

Bridging CAD and Data-Driven Design: Attributed Feature Graphs for Engineering Design cites this paper.

Bridging CAD and Data-Driven Design: Attributed Feature Graphs for Engineering Design Learning Mesh-Based Simulation with Graph Networks

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:08.679510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 349bd515-95d1-44e8-9bd3-93832c11cf98 · inbound

Instrumented data for causal scientific machine learning cites this paper.

Instrumented data for causal scientific machine learning Learning Mesh-Based Simulation with Graph Networks

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-27T22:31:21.230240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 75529ba9-1aeb-436c-b4a0-0b752fd3c09b · inbound

Mesh Graph Neural Network Framework for Accelerating Finite Element Simulation for Arbitrary Geometries cites this paper.

Mesh Graph Neural Network Framework for Accelerating Finite Element Simulation for Arbitrary Geometries Learning Mesh-Based Simulation with Graph Networks

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:17:24.427099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5fbe74d-401b-4213-96ff-5d8c1f5bd454 · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Learning Mesh-Based Simulation with Graph Networks

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:37:29.903601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 14b1984a-9c37-4a99-927b-b7171244bae1 · inbound

NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics cites this paper.

NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics Learning Mesh-Based Simulation with Graph Networks

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:18:43.358364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 337b1b81-0342-4f80-98f2-730380c132ec · inbound

Towards Fast GNN Surrogates for CO2 Migration in Complex Geological Formations cites this paper.

Towards Fast GNN Surrogates for CO2 Migration in Complex Geological Formations Learning Mesh-Based Simulation with Graph Networks

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:38:43.972388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7563cb46-48d2-4dd1-993f-55703ebe5b2f · inbound

Domain-Validity-Gated Metamorphic Testing of Scientific ML Surrogates cites this paper.

Domain-Validity-Gated Metamorphic Testing of Scientific ML Surrogates Learning Mesh-Based Simulation with Graph Networks

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T22:40:10.331569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e9ddc30-06cb-4c1f-85c3-e1c6899fc75c · inbound

Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels cites this paper.

Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels Learning Mesh-Based Simulation with Graph Networks

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:29:31.109152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c1e7f50-c9b3-4104-b5c8-b3ad11b0507f · inbound

SuperCond-GNN: Scalable Graph Neural Network Surrogate for Superconducting Circuit Simulations cites this paper.

SuperCond-GNN: Scalable Graph Neural Network Surrogate for Superconducting Circuit Simulations Learning Mesh-Based Simulation with Graph Networks

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T12:49:52.848594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 13780e98-dd4d-4073-8955-0b21689cfe01 · inbound

Linkify: Learning from Interface-Augmented Assembly Graphs cites this paper.

Linkify: Learning from Interface-Augmented Assembly Graphs Learning Mesh-Based Simulation with Graph Networks

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:26:58.289876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation aa732c50-9f8a-4f20-9cc4-4d3c826944d3 · inbound

Quadrature-Aware Complex-Linear Neural Operator for Boundary-to-Field Prediction in Resonant Acoustics cites this paper.

Quadrature-Aware Complex-Linear Neural Operator for Boundary-to-Field Prediction in Resonant Acoustics Learning Mesh-Based Simulation with Graph Networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-11T19:24:32.040124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eedbec46-47e6-42bd-b3e9-ba3c73466bf1 · inbound

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation cites this paper.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Learning Mesh-Based Simulation with Graph Networks

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-08T02:04:26.263344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 636f5dbe-5866-43f0-a54a-bab0d6df3014 · inbound

BubbleSH: A Dataset of Rising Bubbles with Deformable Interfaces cites this paper.

BubbleSH: A Dataset of Rising Bubbles with Deformable Interfaces Learning Mesh-Based Simulation with Graph Networks

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-09T16:06:20.113907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 528a4976-cfca-4cf1-9844-f5dd4532095c · inbound

GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement cites this paper.

GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement Learning Mesh-Based Simulation with Graph Networks

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-13T06:42:45.558324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb553324-9364-438d-926b-940889fffb08 · inbound

A multi-scale feature enhanced graph neural network for fluid dynamics prediction in complex geometries cites this paper.

A multi-scale feature enhanced graph neural network for fluid dynamics prediction in complex geometries Learning Mesh-Based Simulation with Graph Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T03:58:20.710039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 928eddc3-e2d5-4980-9686-6a50c0da4c93 · inbound

Evaluation of State-of-the-Art Deep Learning Architectures for Aerodynamical Predictions cites this paper.

Evaluation of State-of-the-Art Deep Learning Architectures for Aerodynamical Predictions Learning Mesh-Based Simulation with Graph Networks

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T03:30:45.650991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c071f451-4ec2-4e7b-9b1b-5f1a037b49b8 · inbound

A Research Prototype for Closed-Loop Generative Design of Customized Foot Orthoses via Semantic-Physics Alignment cites this paper.

A Research Prototype for Closed-Loop Generative Design of Customized Foot Orthoses via Semantic-Physics Alignment Learning Mesh-Based Simulation with Graph Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T20:27:57.236504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd659f92-0aee-4144-87c6-6f73184377a7 · inbound

Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls cites this paper.

Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls Learning Mesh-Based Simulation with Graph Networks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T21:45:16.151135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53871a50-3797-40da-92e2-615be9822712 · inbound

Image Editing Models are Numerical Solvers cites this paper.

Image Editing Models are Numerical Solvers Learning Mesh-Based Simulation with Graph Networks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T14:25:42.123165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8c3f3a8-f199-4a6e-b6f2-e829e84b7cb5 · inbound

Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses cites this paper.

Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses Learning Mesh-Based Simulation with Graph Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T09:07:17.262890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26457812-e7ae-4b1a-85c7-26b1d1d71044 · inbound

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields cites this paper.

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields Learning Mesh-Based Simulation with Graph Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T10:13:40.564790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe82186e-7e84-436b-bc6c-debf3c1e1240 · inbound

Data-free neural PDE solvers based on Graph Neural Networks and weak forms cites this paper.

Data-free neural PDE solvers based on Graph Neural Networks and weak forms Learning Mesh-Based Simulation with Graph Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T23:24:55.690053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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