REGE: A Method for Incorporating Uncertainty in Graph Embeddings | Paper Citation Record

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This paper cites A Review on Graph Neural Network Methods in Financial Applications.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings A Review on Graph Neural Network Methods in Financial Applications

Reference 1

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This paper cites Improving the general- izability of protein-ligand binding predictions with ai- bind,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Improving the general- izability of protein-ligand binding predictions with ai- bind,

Reference 2

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This paper cites Hyganno: hybrid graph neural network– based cell type annotation for single-cell atac sequenc- ing data,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Hyganno: hybrid graph neural network– based cell type annotation for single-cell atac sequenc- ing data,

Reference 3

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This paper cites Graph convolutional neu- ral networks for web-scale recommender systems,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Graph convolutional neu- ral networks for web-scale recommender systems,

Reference 4

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This paper cites Distilling the Knowledge in a Neural Network.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Distilling the Knowledge in a Neural Network

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This paper cites Graph-less neural networks: Teaching old mlps new tricks via distillation,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Graph-less neural networks: Teaching old mlps new tricks via distillation,

Reference 6

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This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 7

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This paper cites Curriculum learning,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Curriculum learning,

Reference 8

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This paper cites Topology attack and defense for graph neural networks: an optimization perspective,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Topology attack and defense for graph neural networks: an optimization perspective,

Reference 9

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This paper cites Adversarial attacks on graph neural networks via meta learning,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Adversarial attacks on graph neural networks via meta learning,

Reference 10

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This paper cites Towards reasonable budget allocation in untargeted graph struc- ture attacks via gradient debias,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Towards reasonable budget allocation in untargeted graph struc- ture attacks via gradient debias,

Reference 11

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This paper cites Bayesian inference of network structure from unreli- able data,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Bayesian inference of network structure from unreli- able data,

Reference 12

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This paper cites Network reconstruction via the minimum description length principle.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Network reconstruction via the minimum description length principle

Reference 13

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This paper cites The minimum description length principle in coding and modeling,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings The minimum description length principle in coding and modeling,

Reference 14

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This paper cites Fast attributed graph embedding via density of states,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Fast attributed graph embedding via density of states,

Reference 15

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This paper cites Localization on low-order eigenvectors of data matrices.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Localization on low-order eigenvectors of data matrices

Reference 16

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This paper cites Spectral and dy- namical properties in classes of sparse networks with mesoscopic inhomogeneities,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Spectral and dy- namical properties in classes of sparse networks with mesoscopic inhomogeneities,

Reference 17

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This paper cites The political blogo- sphere and the 2004 us election: divided they blog,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings The political blogo- sphere and the 2004 us election: divided they blog,

Reference 18

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Observation 02687b6d-4870-4dd6-ad97-201a99574b88 · outbound

This paper cites A survey on epistemic (model) uncertainty in su- pervised learning: Recent advances and applications,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings A survey on epistemic (model) uncertainty in su- pervised learning: Recent advances and applications,

Reference 19

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This paper cites Aleatoric and epis- temic uncertainty in machine learning: An introduc- tion to concepts and methods,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Aleatoric and epis- temic uncertainty in machine learning: An introduc- tion to concepts and methods,

Reference 20

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This paper cites Auto-Encoding Variational Bayes.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Auto-Encoding Variational Bayes

Reference 21

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This paper cites Automating the construction of internet portals with machine learning,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Automating the construction of internet portals with machine learning,

Reference 22

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This paper cites Cite- seer: An automatic citation indexing system,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Cite- seer: An automatic citation indexing system,

Reference 23

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This paper cites Robust graph convolutional networks against adversarial attacks,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Robust graph convolutional networks against adversarial attacks,

Reference 24

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This paper cites All you need is low (rank) defend- ing against adversarial attacks on graphs,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings All you need is low (rank) defend- ing against adversarial attacks on graphs,

Reference 25

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This paper cites Graph structure learning for robust graph neural networks,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Graph structure learning for robust graph neural networks,

Reference 26

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This paper cites Gnnguard: Defending graph neural networks against adversarial attacks,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Gnnguard: Defending graph neural networks against adversarial attacks,

Reference 27

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This paper cites Graph structure reshaping against adversarial attacks on graph neural networks,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Graph structure reshaping against adversarial attacks on graph neural networks,

Reference 28

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This paper cites Graph adversarial diffusion convolution,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Graph adversarial diffusion convolution,

Reference 29

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This paper cites Ricci-gnn: Defending against structural attacks through a geometric approach,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Ricci-gnn: Defending against structural attacks through a geometric approach,

Reference 30

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This paper cites Diffusion improves graph learning,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Diffusion improves graph learning,

Reference 31

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REGE: A Method for Incorporating Uncertainty in Graph Embeddings Ricci curvature of markov chains on metric spaces,

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REGE: A Method for Incorporating Uncertainty in Graph Embeddings An information flow model for con- flict and fission in small groups,

Reference 33

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This paper cites Dgcu: A new deep directed method based on gaussian embed- ding for clustering uncertain graphs,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Dgcu: A new deep directed method based on gaussian embed- ding for clustering uncertain graphs,

Reference 34

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This paper cites On embedding uncertain graphs,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings On embedding uncertain graphs,

Reference 35

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This paper cites K- nearest neighbors in uncertain graphs,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings K- nearest neighbors in uncertain graphs,

Reference 36

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REGE: A Method for Incorporating Uncertainty in Graph Embeddings Core decomposition of uncertain graphs,

Reference 37

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This paper cites Shortest paths and centrality in uncer- tain networks,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Shortest paths and centrality in uncer- tain networks,

Reference 38

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This paper cites Word Representations via Gaussian Embedding.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Word Representations via Gaussian Embedding

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This paper cites Confidence-based graph convolutional networks for semi-supervised learning,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Confidence-based graph convolutional networks for semi-supervised learning,

Reference 40

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This paper cites Rethinking missing data: Aleatoric uncertainty-aware recommendation,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Rethinking missing data: Aleatoric uncertainty-aware recommendation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.443408Z

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Observation 195db96f-dfce-43b0-b87c-79885b3c90b0 · outbound

This paper cites Modeling uncertainty to improve personalized recommendations via bayesian deep learning,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Modeling uncertainty to improve personalized recommendations via bayesian deep learning,

Reference 42

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This paper cites Uncer- tainty aware semi-supervised learning on graph data,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Uncer- tainty aware semi-supervised learning on graph data,

Reference 43

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This paper cites Uncertainty aware graph gaussian process for semi- supervised learning,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Uncertainty aware graph gaussian process for semi- supervised learning,

Reference 44

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Observation 8ff6b31d-c989-4a4b-97a8-695bc9ed187b · outbound

This paper cites Bayesian semi- supervised learning with graph gaussian processes,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Bayesian semi- supervised learning with graph gaussian processes,

Reference 45

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This paper cites Ud- gnn: Uncertainty-aware debiased training on semi- homophilous graphs,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Ud- gnn: Uncertainty-aware debiased training on semi- homophilous graphs,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.396770Z

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Observation cbb1b584-c7cc-4eb5-b102-c6384141fc56 · outbound

This paper cites Accurate and scalable estimation of epistemic uncertainty for graph neural networks,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Accurate and scalable estimation of epistemic uncertainty for graph neural networks,

Reference 47

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Observation 7d0af11f-1e4d-4909-9b19-a4b1e7e84ddb · outbound

This paper cites A general framework for quantifying aleatoric and epis- temic uncertainty in graph neural networks,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings A general framework for quantifying aleatoric and epis- temic uncertainty in graph neural networks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.382919Z

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Observation 87cb2ea3-fc83-4f7e-9c24-c8bcfbbfe1cd · outbound

This paper cites Uag: Uncertainty- aware attention graph neural network for defending adversarial attacks,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Uag: Uncertainty- aware attention graph neural network for defending adversarial attacks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.374289Z

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Observation 6adabb34-95d9-4eb2-88c8-aaa284164087 · outbound

This paper cites Un- certainty quantification over graph with conformalized graph neural networks,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Un- certainty quantification over graph with conformalized graph neural networks,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.365474Z

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Observation 02baae8b-5428-4def-9aaf-52aa7f7a1687 · outbound

This paper cites Fuzzy neural network for representation learning on uncertain graphs,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Fuzzy neural network for representation learning on uncertain graphs,

Reference 51

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Source-reported events for the cited work

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Observation b8afdd96-b1c0-4dd6-abea-e931e249600e · outbound

This paper cites Fuzzy representation learning on graph,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Fuzzy representation learning on graph,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.347395Z

Source-reported events for the cited work

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Observation cb0abf00-ac5b-486a-92aa-80d852fb86ba · outbound

This paper cites Fuzzy graph subspace convolutional network,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Fuzzy graph subspace convolutional network,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.338327Z

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Observation 05624081-2b8c-4e10-b37f-a7412647c957 · outbound

This paper cites Uncertainty in Graph Neural Networks: A Survey.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Uncertainty in Graph Neural Networks: A Survey

Reference 54

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Observation ef07b1ba-c368-4d21-b9a2-f6046412925a · outbound

This paper cites Adversarial attack and defense on graph data: A survey,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Adversarial attack and defense on graph data: A survey,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.329429Z

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Observation 4abd0494-7288-4e2d-9e6c-34baf9508e09 · outbound

This paper cites Adversar- ial graph augmentation to improve graph contrastive learning,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Adversar- ial graph augmentation to improve graph contrastive learning,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.319899Z

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Observation 9c1cb60a-075b-46ed-a524-dae277ea909a · outbound

This paper cites Towards Robust Graph Contrastive Learning.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Towards Robust Graph Contrastive Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T20:30:56.107570Z

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Observation 89356eb6-8b32-4b24-8ee5-0fa506d96f87 · outbound

This paper cites Adversarial Defense Framework for Graph Neural Network.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Adversarial Defense Framework for Graph Neural Network

Reference 58

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Observation aba9bab6-db98-48f0-aa6d-9f2a6747dd88 · outbound

This paper cites Adversarial examples for graph data: deep insights into attack and defense,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Adversarial examples for graph data: deep insights into attack and defense,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.310021Z

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Observation 0b3d411f-dfde-4b5d-91e6-c5452b1a83f3 · outbound

This paper cites Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T20:30:56.116476Z

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Observation 2662c790-abb8-4815-8e44-7027e9ac42ad · outbound

This paper cites Learning to drop: Robust graph neural network via topological denoising,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Learning to drop: Robust graph neural network via topological denoising,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.300410Z

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Observation 4133b673-1792-413d-af48-c994c9d587cb · outbound

This paper cites Learning graph embedding with adversarial training methods,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Learning graph embedding with adversarial training methods,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.291410Z

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Observation 58bfa869-8eb9-446d-8d85-264210a55980 · outbound

This paper cites DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:30:56.177824Z

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Observation 402f5dff-87ba-4a98-9c1a-f61ea97ad525 · outbound

This paper cites Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:30:56.164970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e410e1ad-7a29-4506-b2be-2d2fecf8d259 · outbound

This paper cites Effi- cient robustness certificates for discrete data: Sparsity- aware randomized smoothing for graphs, images and more,.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Effi- cient robustness certificates for discrete data: Sparsity- aware randomized smoothing for graphs, images and more,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.282190Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 833383bb-f63c-441a-ba47-88af1eac1982 · outbound

This paper cites However, REGE consistently outperforms REGE-NCT, highlighting the effectiveness of curricu- lum learning.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings However, REGE consistently outperforms REGE-NCT, highlighting the effectiveness of curricu- lum learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:56.273088Z

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