From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks | Paper Citation Record

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This paper cites Hypergraph neural net- works,.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Hypergraph neural net- works,

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

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Hypergcn: A new method for training graph convolutional networks on hypergraphs,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Hyper-sagnn: a self-attention based graph neural network for hypergraphs,

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

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

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

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Message passing neural networks for hy- pergraphs,

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This paper cites Deeper insights into graph convolutional networks for semi-supervised learning,.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Deeper insights into graph convolutional networks for semi-supervised learning,

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This paper cites Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

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This paper cites A Note on Over-Smoothing for Graph Neural Networks.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks A Note on Over-Smoothing for Graph Neural Networks

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Tackling Over-Smoothing for General Graph Convolutional Networks

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This paper cites Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective

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This paper cites DropEdge: Towards Deep Graph Convolutional Networks on Node Classification.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

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This paper cites PairNorm: Tackling Oversmoothing in GNNs.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks PairNorm: Tackling Oversmoothing in GNNs

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Simple and deep graph convolutional networks,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Towards deeper graph neural networks,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Representation learning on graphs with jumping knowledge networks,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Gread: Graph neural reaction- diffusion networks,

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This paper cites Graph neural reaction diffusion models,.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Graph neural reaction diffusion models,

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This paper cites Preventing Over-Smoothing for Hypergraph Neural Networks.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Preventing Over-Smoothing for Hypergraph Neural Networks

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This paper cites Deep hypergraph neural networks with tight framelets,.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Deep hypergraph neural networks with tight framelets,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Sheaf hypergraph net- works,

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This paper cites Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks HNHN: Hypergraph Networks with Hyperedge Neurons

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks From hypergraph energy functions to hypergraph neural networks,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Hypergraph dynamic system,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Hypergraph neural diffusion networks,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Hypergraph neural sheaf diffusion: A symmetric simplicial set framework for higher-order learning,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Understanding oversmoothing in diffusion-based gnns from the perspective of operator semigroup theory,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Rethinking over- smoothing in graph neural networks: A rank-based perspective,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Grand++: Graph neural diffusion with a source term,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Tackling over-smoothing on hypergraphs: A ricci flow-guided neural diffusion approach,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Unresolved cited work

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Temam,Infinite-dimensional dynamical systems in mechanics and physics

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Uci machine learning repository, 2017,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks 3d shapenets: A deep representation for volumetric shapes,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Clustering in graphs and hy- pergraphs with categorical edge labels,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Generative hypergraph clustering: From blockmodels to modularity,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Connecting the congress: A study of cosponsorship networks,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Grand: Graph neural diffusion,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Equivariant Hypergraph Diffusion Neural Operators

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks K-hop hypergraph neural network: A comprehensive aggregation approach,

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Fast Graph Representation Learning with PyTorch Geometric

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From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Consistency of spectral partitioning of uniform hypergraphs under planted partition model,

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This paper cites Community detection in hyper- graphs: Optimal statistical limit and efficient algorithms,.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Community detection in hyper- graphs: Optimal statistical limit and efficient algorithms,

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