Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement | Paper Citation Record

Observation 67464bd9-51e9-4640-9d03-397e515783e7 · outbound

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

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A Note on Over-Smoothing for Graph Neural Networks

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This paper cites Grand: Graph neural diffusion.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Grand: Graph neural diffusion

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph coarsening: from scientific computing to machine learning

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Optimization-induced graph implicit nonlinear diffusion

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A gromov- W asserstein geometric view of spectrum-preserving graph coarsening

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Adaptive universal generalized pagerank graph neural network

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This paper cites Spectral Graph Theory , volume 92.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Spectral Graph Theory , volume 92

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Elements of information theory

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Re-think and re-design graph neural networks in spaces of continuous graph diffusion functionals

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This paper cites Halappanavar, Edoardo Serra, and Alex Pothen.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Halappanavar, Edoardo Serra, and Alex Pothen

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Polynormer: Polynomial-expressive graph transformer in linear time

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph coarsening via convolution matching for scalable graph neural network training

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Unresolved cited work

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Pde-gcn: Novel architectures for graph neural networks motivated by partial differential equations

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Faster graph embeddings via coarsening

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Implicit graph neural diffusion based on constrained dirichlet energy minimization

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Bronstein

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This paper cites A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions

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This paper cites Scalable graph condensation with evolving capabilities.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Scalable graph condensation with evolving capabilities

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This paper cites From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond

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This paper cites Aditya Prakash, and Wei Jin.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Aditya Prakash, and Wei Jin

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Open graph benchmark: Datasets for machine learning on graphs

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This paper cites Scaling up graph neural networks via graph coarsening.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Scaling up graph neural networks via graph coarsening

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph condensation for graph neural networks

Reference 24

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph coarsening with preserved spectral properties

Reference 25

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph Coarsening with Message-Passing Guarantees

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Ugc: Universal graph coarsening

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Adam: A Method for Stochastic Optimization

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Kipf and Max Welling

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A unified framework for optimization-based graph coarsening

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Featured graph coarsening with similarity guarantees

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Finding global homophily in graph neural networks when meeting heterophily

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph summarization methods and applications: A survey

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Spectrally approximating large graphs with smaller graphs

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A fractional graph laplacian approach to oversmoothing

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Unresolved cited work

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Perona and J

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This paper cites A critical look at the evaluation of GNN s under heterophily: Are we really making progress? In International Conference on Learning Representations, 2023.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A critical look at the evaluation of GNN s under heterophily: Are we really making progress? In International Conference on Learning Representations, 2023

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Aditya Prakash, Chanhyun Kang, Yao Zhang, and V.S

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Unresolved cited work

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

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Scalable graph neural network training: The case for sampling

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph attention networks

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Unresolved cited work

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Sgformer: Simplifying and empowering transformers for large-graph representations

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph coarsening via supervised granular-ball for scalable graph neural network training

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This paper cites Two sides of the same coin: Heterophily and oversmoothing in graph convolutional neural networks.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Two sides of the same coin: Heterophily and oversmoothing in graph convolutional neural networks

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A survey on multi-task learning

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph Neural Networks for Graphs with Heterophily: A Survey

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Beyond homophily in graph neural networks: Current limitations and effective designs

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the AAAI Conference on Artificial Intelligence , author=

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2020 , isbn =

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2021 , eprint=

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2023 , eprint=

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2024 , eprint=

Reference 62

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2023 , eprint=

Reference 63

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Observation 706f4f39-94b7-475d-b11a-f721738bbc95 · outbound

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement ICML , year=

Reference 64

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) , publisher=

Reference 65

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 66

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Observation cb42962e-94bf-4d6c-804c-450ebb234388 · outbound

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 67

Resolution: verified exact; doi, observed 2026-08-01T06:33:24.790108Z

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Observation 2da3f2fe-5ab2-4481-ab02-56acaa1f707a · outbound

This paper cites 2023 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2023 , eprint=

Reference 68

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering , url=

Reference 69

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Observation d73f1588-61b4-46bd-94eb-745a84b58a92 · outbound

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2024 , eprint=

Reference 70

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2023 , eprint=

Reference 71

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2024 , eprint=

Reference 72

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2017 , eprint=

Reference 73

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement and Bresson, Xavier , title=

Reference 74

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Factorization Machines , year=

Reference 75

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Higher-Order Factorization Machines , url=

Reference 76

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Observation 50d462ec-6b22-4a28-ad7f-a2c5a38d0267 · outbound

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the 26th International Joint Conference on Artificial Intelligence , pages=

Reference 77

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2017 , eprint=

Reference 78

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement and Sturmfels, Pascal and Lee, Su-In , title=

Reference 79

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2020 , isbn=

Reference 80

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2024 , eprint=

Reference 81

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Aggarwal and Dawei Yin and Jiliang Tang , title=

Reference 82

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement The Eleventh International Conference on Learning Representations , year=

Reference 83

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Dual Feature Interaction-Based Graph Convolutional Network , year=

Reference 84

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2021 , isbn=

Reference 85

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks , url=

Reference 87

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2024 , eprint=

Reference 88

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Node-Oriented Spectral Filtering for Graph Neural Networks , year=

Reference 89

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph Neural Networks With Convolutional ARMA Filters , year=

Reference 90

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement , journal=

Reference 91

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities , year=

Reference 92

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 93

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2022 , editor=

Reference 94

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement and Fefferman, Robert , year=

Reference 96

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement International Conference on Learning Representations , year=

Reference 97

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Unresolved cited work

Reference 98

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Infinite Impulse Response Graph Filters in Wireless Sensor Networks , year=

Reference 99

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Autoregressive Moving Average Graph Filtering , year=

Reference 100

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Rational Chebyshev Graph Filters , year=

Reference 101

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Observation 032aac9d-cfbb-435f-af77-259260eada70 · outbound

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Fourier-Based and Rational Graph Filters for Spectral Processing , year=

Reference 102

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Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Optimal surface smoothing as filter design

Reference 103

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Reference 104

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Reference 105

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Pith citing papers