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polynomial filter

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graph neural network (5) spectral graph neural network (3) node classification (3) graph convolution (2) message passing (2) deep extension (1) heterophilic graph (1) spectral convolution (1) spectral gap (1) polynomial basis (1)

Papers

A Graph Dynamics Prior for Relational Inference AAAI 2024 Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction AAAI 2024 PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering AAAI 2024 PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters ICLR 2024 Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles NeurIPS 2024 Graph Neural Networks with Learnable and Optimal Polynomial Bases ICML 2023 Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering ICML 2023 EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NeurIPS 2022 Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders IJCAI 2022 Fast methods for estimating the Numerical rank of large matrices ICML 2016