Towards Trustworthy Hypergraph Neural Networks under Label Noise | Paper Citation Record

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This paper cites Learning with hyper- graphs: Clustering, classification, and embedding,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Learning with hyper- graphs: Clustering, classification, and embedding,

Reference 1

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This paper cites A survey on hypergraph representation learning,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise A survey on hypergraph representation learning,

Reference 2

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This paper cites Berge, Hypergraphs: combinatorics of finite sets.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Berge, Hypergraphs: combinatorics of finite sets

Reference 3

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This paper cites Hypergraph topolog- ical quantities for tagged social networks,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Hypergraph topolog- ical quantities for tagged social networks,

Reference 4

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This paper cites Social influence maximization in hypergraph in social networks,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Social influence maximization in hypergraph in social networks,

Reference 5

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This paper cites Self-supervised hypergraph transformer for recommender systems,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Self-supervised hypergraph transformer for recommender systems,

Reference 6

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This paper cites Next-item recommendation with sequential hypergraphs,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Next-item recommendation with sequential hypergraphs,

Reference 7

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This paper cites Hypergraph models of biological networks to identify genes critical to pathogenic viral response,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Hypergraph models of biological networks to identify genes critical to pathogenic viral response,

Reference 8

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This paper cites Hypergraphs and cellu- lar networks,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Hypergraphs and cellu- lar networks,

Reference 9

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This paper cites A survey on hypergraph neural networks: an in-depth and step-by-step guide,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise A survey on hypergraph neural networks: an in-depth and step-by-step guide,

Reference 10

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This paper cites Hypergraph convolution on nodes- hyperedges network for semi-supervised node classification,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Hypergraph convolution on nodes- hyperedges network for semi-supervised node classification,

Reference 11

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This paper cites Nhp: Neural hypergraph link prediction,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Nhp: Neural hypergraph link prediction,

Reference 12

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This paper cites Link prediction in social networks based on hypergraph,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Link prediction in social networks based on hypergraph,

Reference 13

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This paper cites Hypersynergyx: Synergistic drug combination prediction via hypergraph modeling and knowledge graph-enhanced retrieval- augmented generation,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Hypersynergyx: Synergistic drug combination prediction via hypergraph modeling and knowledge graph-enhanced retrieval- augmented generation,

Reference 14

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This paper cites Graph topology adaptive judgment against node label noise,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Graph topology adaptive judgment against node label noise,

Reference 15

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Observation b1ae4bcb-2e42-4cf6-a194-1122f252429d · outbound

This paper cites Classification in the presence of label noise: a survey,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Classification in the presence of label noise: a survey,

Reference 16

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This paper cites Noise-robust classification with hypergraph neural network.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Noise-robust classification with hypergraph neural network

Reference 17

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This paper cites Co-teaching: Robust training of deep neural networks with extremely noisy labels,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Co-teaching: Robust training of deep neural networks with extremely noisy labels,

Reference 18

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Observation d1f4eaf3-1578-4abe-91e5-70dbb99e1b82 · outbound

This paper cites How does disagreement help generalization against label corruption,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise How does disagreement help generalization against label corruption,

Reference 19

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This paper cites Decoupling “when to up- date.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Decoupling “when to up- date

Reference 20

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This paper cites Dividemix: Learning with noisy labels as semi-supervised learning,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Dividemix: Learning with noisy labels as semi-supervised learning,

Reference 21

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This paper cites Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels,

Reference 22

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This paper cites Training deep neural- networks using a noise adaptation layer,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Training deep neural- networks using a noise adaptation layer,

Reference 23

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This paper cites Dimensionality-driven learn- ing with noisy labels,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Dimensionality-driven learn- ing with noisy labels,

Reference 24

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This paper cites Making deep neural networks robust to label noise: a loss correction approach,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Making deep neural networks robust to label noise: a loss correction approach,

Reference 25

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This paper cites Training deep neural networks on noisy labels with bootstrapping,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Training deep neural networks on noisy labels with bootstrapping,

Reference 26

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This paper cites Nrgnn: Learning a label noise resistant graph neural network on sparsely and noisily labeled graphs,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Nrgnn: Learning a label noise resistant graph neural network on sparsely and noisily labeled graphs,

Reference 27

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This paper cites Robust training of graph neural networks via noise governance,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Robust training of graph neural networks via noise governance,

Reference 28

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This paper cites Unified robust training for graph neural networks against label noise,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Unified robust training for graph neural networks against label noise,

Reference 29

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This paper cites Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions

Reference 30

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This paper cites Adversarial label- flipping attack and defense for graph neural networks,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Adversarial label- flipping attack and defense for graph neural networks,

Reference 31

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This paper cites Learning on graphs under label noise,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Learning on graphs under label noise,

Reference 32

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This paper cites Robust loss functions under label noise for deep neural networks,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Robust loss functions under label noise for deep neural networks,

Reference 33

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This paper cites NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise.

Towards Trustworthy Hypergraph Neural Networks under Label Noise NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise

Reference 34

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This paper cites Hypergraph neural networks,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Hypergraph neural networks,

Reference 35

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This paper cites HNHN: Hypergraph Networks with Hyperedge Neurons.

Towards Trustworthy Hypergraph Neural Networks under Label Noise HNHN: Hypergraph Networks with Hyperedge Neurons

Reference 36

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This paper cites Hypergcn: A new method for training graph convolutional networks on hypergraphs,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Hypergcn: A new method for training graph convolutional networks on hypergraphs,

Reference 37

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This paper cites HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs.

Towards Trustworthy Hypergraph Neural Networks under Label Noise HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

Reference 38

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This paper cites UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks.

Towards Trustworthy Hypergraph Neural Networks under Label Noise UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

Reference 39

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This paper cites You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks.

Towards Trustworthy Hypergraph Neural Networks under Label Noise You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

Reference 40

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This paper cites Hypergraph dynamic system,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Hypergraph dynamic system,

Reference 41

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This paper cites Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing

Reference 42

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This paper cites K-hop hypergraph neural network: A comprehensive aggregation approach,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise K-hop hypergraph neural network: A comprehensive aggregation approach,

Reference 43

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This paper cites Un- derstanding deep learning requires rethinking generalization,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Un- derstanding deep learning requires rethinking generalization,

Reference 44

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This paper cites Contrastive learning of graphs under label noise,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Contrastive learning of graphs under label noise,

Reference 45

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This paper cites Tackling over-smoothing on hypergraphs: A ricci flow-guided neural diffusion approach,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Tackling over-smoothing on hypergraphs: A ricci flow-guided neural diffusion approach,

Reference 46

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This paper cites Combating noisy labels by agreement: A joint training method with co-regularization,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Combating noisy labels by agreement: A joint training method with co-regularization,

Reference 47

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This paper cites Normalized loss functions for deep learning with noisy labels,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Normalized loss functions for deep learning with noisy labels,

Reference 48

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This paper cites Symmetric cross entropy for robust learning with noisy labels,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Symmetric cross entropy for robust learning with noisy labels,

Reference 49

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This paper cites Clnode: Curriculum learning for node classification,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Clnode: Curriculum learning for node classification,

Reference 50

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This paper cites Learning Graph Neural Networks with Noisy Labels.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Learning Graph Neural Networks with Noisy Labels

Reference 51

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This paper cites Node similarity preserving graph convolutional networks,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Node similarity preserving graph convolutional networks,

Reference 52

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Observation fa5027c1-48b9-4f32-91fe-2a4b9dcb2323 · outbound

This paper cites Inferring anchor links across multiple heterogeneous social networks,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Inferring anchor links across multiple heterogeneous social networks,

Reference 53

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This paper cites node2vec: Scalable feature learning for networks,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise node2vec: Scalable feature learning for networks,

Reference 54

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This paper cites Current and future directions in network biology,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise Current and future directions in network biology,

Reference 55

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This paper cites 3d shapenets: A deep representation for volumetric shapes,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise 3d shapenets: A deep representation for volumetric shapes,

Reference 56

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This paper cites On vi- sual similarity based 3d model retrieval,.

Towards Trustworthy Hypergraph Neural Networks under Label Noise On vi- sual similarity based 3d model retrieval,

Reference 57

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