A Survey on Oversmoothing in Graph Neural Networks | Paper Citation Record

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xAI-Drop: Don't Use What You Cannot Explain cites this paper.

xAI-Drop: Don't Use What You Cannot Explain A Survey on Oversmoothing in Graph Neural Networks

Reference 24

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Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey cites this paper.

Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey A Survey on Oversmoothing in Graph Neural Networks

Reference 48

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Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNs cites this paper.

Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNs A Survey on Oversmoothing in Graph Neural Networks

Reference 4

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Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space cites this paper.

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space A Survey on Oversmoothing in Graph Neural Networks

Reference 21

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Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach cites this paper.

Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach A Survey on Oversmoothing in Graph Neural Networks

Reference 57

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment cites this paper.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A Survey on Oversmoothing in Graph Neural Networks

Reference 54

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sHGCN: Simplified hyperbolic graph convolutional neural networks cites this paper.

sHGCN: Simplified hyperbolic graph convolutional neural networks A Survey on Oversmoothing in Graph Neural Networks

Reference 15

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GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks cites this paper.

GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks A Survey on Oversmoothing in Graph Neural Networks

Reference 12

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Effects of relational graph modularity and depth on the learning performance of neural networks cites this paper.

Effects of relational graph modularity and depth on the learning performance of neural networks A Survey on Oversmoothing in Graph Neural Networks

Reference 34

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TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows cites this paper.

TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows A Survey on Oversmoothing in Graph Neural Networks

Reference 82

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FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics cites this paper.

FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics A Survey on Oversmoothing in Graph Neural Networks

Reference 42

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On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks cites this paper.

On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks A Survey on Oversmoothing in Graph Neural Networks

Reference 47

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Multimodal Conditional MeshGAN for Personalized Aneurysm Growth Prediction cites this paper.

Multimodal Conditional MeshGAN for Personalized Aneurysm Growth Prediction A Survey on Oversmoothing in Graph Neural Networks

Reference 12

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Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks cites this paper.

Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks A Survey on Oversmoothing in Graph Neural Networks

Reference 34

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Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation cites this paper.

Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation A Survey on Oversmoothing in Graph Neural Networks

Reference 22

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Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators cites this paper.

Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators A Survey on Oversmoothing in Graph Neural Networks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:40:31.174561Z

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Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning cites this paper.

Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning A Survey on Oversmoothing in Graph Neural Networks

Reference 17

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Learning from Historical Activations in Graph Neural Networks cites this paper.

Learning from Historical Activations in Graph Neural Networks A Survey on Oversmoothing in Graph Neural Networks

Reference 18

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Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors cites this paper.

Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors A Survey on Oversmoothing in Graph Neural Networks

Reference 25

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From Load Tests to Live Streams: Graph Embedding-Based Anomaly Detection in Microservice Architectures cites this paper.

From Load Tests to Live Streams: Graph Embedding-Based Anomaly Detection in Microservice Architectures A Survey on Oversmoothing in Graph Neural Networks

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:25:53.370928Z

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Capacity-Controlled Global Attention for Graph Transformers cites this paper.

Capacity-Controlled Global Attention for Graph Transformers A Survey on Oversmoothing in Graph Neural Networks

Reference 12

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Observation 0ef7f861-5489-4ed5-ab40-5f8c4ffa3f88 · inbound

Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids cites this paper.

Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids A Survey on Oversmoothing in Graph Neural Networks

Reference 46

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Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids cites this paper.

Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids A Survey on Oversmoothing in Graph Neural Networks

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:50:51.712799Z

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Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey cites this paper.

Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey A Survey on Oversmoothing in Graph Neural Networks

Reference 47

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Quantile-Free Uncertainty Quantification in Graph Neural Networks cites this paper.

Quantile-Free Uncertainty Quantification in Graph Neural Networks A Survey on Oversmoothing in Graph Neural Networks

Reference 49

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NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces cites this paper.

NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces A Survey on Oversmoothing in Graph Neural Networks

Reference 34

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Observation 030471fe-0b93-437a-a62d-84d68d624344 · inbound

NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces cites this paper.

NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces A Survey on Oversmoothing in Graph Neural Networks

Reference 34

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SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning cites this paper.

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning A Survey on Oversmoothing in Graph Neural Networks

Reference 57

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Observation 3b5d352d-cd15-4dbe-88f8-faa2e112252b · inbound

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning cites this paper.

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning A Survey on Oversmoothing in Graph Neural Networks

Reference 57

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Observation d3704835-6415-4e10-87bc-c1bebe86a0f7 · inbound

From Schema to Signal: Retrieval-Augmented Modeling for Relational Data Analytics cites this paper.

From Schema to Signal: Retrieval-Augmented Modeling for Relational Data Analytics A Survey on Oversmoothing in Graph Neural Networks

Reference 36

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Observation ea7e893a-3be5-4203-bbfa-02e530cef8d7 · inbound

Neural Point-Forms cites this paper.

Neural Point-Forms A Survey on Oversmoothing in Graph Neural Networks

Reference 47

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Observation ea28b54d-9b81-461e-836b-3279db9ca20a · inbound

BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics cites this paper.

BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics A Survey on Oversmoothing in Graph Neural Networks

Reference 22

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Observation 5d9d530b-7af4-473f-a5bf-75a6b5806334 · inbound

CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection cites this paper.

CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection A Survey on Oversmoothing in Graph Neural Networks

Reference 33

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Do Deep Ensembles Actually Capture Uncertainty in Graph Neural Networks? cites this paper.

Do Deep Ensembles Actually Capture Uncertainty in Graph Neural Networks? A Survey on Oversmoothing in Graph Neural Networks

Reference 42

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Self-supervised Adversarial Purification for Graph Neural Networks cites this paper.

Self-supervised Adversarial Purification for Graph Neural Networks A Survey on Oversmoothing in Graph Neural Networks

Reference 28

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Observation cbfc0436-ea0f-4953-ad53-ef999f040f1b · inbound

Self-supervised Adversarial Purification for Graph Neural Networks cites this paper.

Self-supervised Adversarial Purification for Graph Neural Networks A Survey on Oversmoothing in Graph Neural Networks

Reference 1

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S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning cites this paper.

S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning A Survey on Oversmoothing in Graph Neural Networks

Reference 12

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Beyond Instance-Level Alignment and Uniformity: Semantic Factor Learning for Collaborative Filtering cites this paper.

Beyond Instance-Level Alignment and Uniformity: Semantic Factor Learning for Collaborative Filtering A Survey on Oversmoothing in Graph Neural Networks

Reference 24

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

Learn When and Where to Connect: Adaptive Virtual Nodes for Dynamic Message Passing on Graphs A Survey on Oversmoothing in Graph Neural Networks

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-28T11:22:03.007359Z

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Temporal Sheaf Neural Networks with Dynamic Orthogonal Transport cites this paper.

Temporal Sheaf Neural Networks with Dynamic Orthogonal Transport A Survey on Oversmoothing in Graph Neural Networks

Reference 61

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Observation 380bb922-de05-4843-a78b-45f3b9f29663 · inbound

PostDeg: Placement Beats Parameterization in LayerNorm GNNs cites this paper.

PostDeg: Placement Beats Parameterization in LayerNorm GNNs A Survey on Oversmoothing in Graph Neural Networks

Reference 42

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AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network cites this paper.

AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network A Survey on Oversmoothing in Graph Neural Networks

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:14.381783Z

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Observation 55d248d1-8ebb-4063-9180-8f3245247bd4 · inbound

Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement cites this paper.

Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement A Survey on Oversmoothing in Graph Neural Networks

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:29:30.972202Z

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Observation 2b9bb413-ace7-49c3-9370-005ce953b776 · inbound

Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement cites this paper.

Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement A Survey on Oversmoothing in Graph Neural Networks

Reference 37

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Ramanujan Graph Rewiring with Non Negative Resistance Curvature cites this paper.

Ramanujan Graph Rewiring with Non Negative Resistance Curvature A Survey on Oversmoothing in Graph Neural Networks

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:29:37.560776Z

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Observation f13bead5-db88-49f1-b9bb-9a7c90d55fae · inbound

Early-Exit Graph Neural Networks for Link Prediction cites this paper.

Early-Exit Graph Neural Networks for Link Prediction A Survey on Oversmoothing in Graph Neural Networks

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:09:40.769477Z

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Observation e4b29b8a-1edb-4b57-bcbf-35e44ae18af9 · inbound

Attention mechanism for scalable mesh-based neural surrogates of free-surface fluids cites this paper.

Attention mechanism for scalable mesh-based neural surrogates of free-surface fluids A Survey on Oversmoothing in Graph Neural Networks

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-26T06:19:03.882130Z

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Observation 50215fcb-00bc-4965-827f-ef5fa78d7979 · inbound

A Spectral Theory of Normalized Corrected GNN Propagation cites this paper.

A Spectral Theory of Normalized Corrected GNN Propagation A Survey on Oversmoothing in Graph Neural Networks

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:19:48.034662Z

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Observation 16e1c825-0437-403b-93b3-5ae1b5f32c4d · inbound

RTL-Sequencer: Towards Scalable RTL Timing Prediction with the Sequence-based Paradigm cites this paper.

RTL-Sequencer: Towards Scalable RTL Timing Prediction with the Sequence-based Paradigm A Survey on Oversmoothing in Graph Neural Networks

Reference 30

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Revisiting Degree-Corrected Spectral Clustering: a Condition-Free Spectral Analysis and Extension cites this paper.

Revisiting Degree-Corrected Spectral Clustering: a Condition-Free Spectral Analysis and Extension A Survey on Oversmoothing in Graph Neural Networks

Reference 55

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Observation d6623d33-4c8f-40e0-98c9-5e572d3b28a1 · inbound

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement cites this paper.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A Survey on Oversmoothing in Graph Neural Networks

Reference 45

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Observation 9c09d25a-00e2-4260-b414-a9f716bf9824 · inbound

Does Graph Compression Preserve Signal Propagation? cites this paper.

Does Graph Compression Preserve Signal Propagation? A Survey on Oversmoothing in Graph Neural Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T23:45:37.035978Z

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