Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks

18 March 2020

Guy Wolf

Papers citing "Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks"

31 / 31 papers shown

Title
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network Xiao Guo Vishal Asnani Sijia Liu Xiaoming Liu 27 5 0 03 Dec 2023
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text Shuaiyi Li Yang Deng Wai Lam 32 2 0 19 Oct 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang Kaidi Wang Yang You Xiaojiang Peng Keli Zhang Yang Wang 37 8 0 19 Aug 2023
Supervised Attention Using Homophily in Graph Neural Networks Michail Chatzianastasis Giannis Nikolentzos Michalis Vazirgiannis GNN 16 0 0 11 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Qijie Ding Jie Yin Daokun Zhang Junbin Gao 56 4 0 05 Jul 2023
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications Marion Neumeier Andreas Tollkühn S. Dorn M. Botsch Wolfgang Utschick GNN 19 4 0 25 May 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing Zhaoliang Chen Zhihao Wu Zhe-Hui Lin Shiping Wang Claudia Plant Wenzhong Guo 29 18 0 14 Apr 2023
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs Zhaoliang Chen Zhihao Wu Luying Zhong Claudia Plant Shiping Wang Wenzhong Guo 23 9 0 13 Apr 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 32 64 0 03 Feb 2023
Graph Scattering beyond Wavelet Shackles Christian Koke Gitta Kutyniok 24 4 0 26 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 36 1 0 16 Jan 2023
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 25 32 0 06 Nov 2022
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 71 205 0 31 May 2022
Hypergraph Contrastive Collaborative Filtering Lianghao Xia Chao Huang Yong-mei Xu Jiashu Zhao Dawei Yin J. Huang 36 304 0 26 Apr 2022
Preventing Over-Smoothing for Hypergraph Neural Networks Guan-Wun Chen Jiying Zhang Xi Xiao Yang Li 23 22 0 31 Mar 2022
When Does A Spectral Graph Neural Network Fail in Node Classification? Zhi-Xing Chen Tengfei Ma Yangkun Wang 14 13 0 16 Feb 2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks Frederik Wenkel Yimeng Min M. Hirn Michael Perlmutter Guy Wolf GNN 27 19 0 22 Jan 2022
Molecular Graph Generation via Geometric Scattering Dhananjay Bhaskar Jackson D. Grady Michal Perlmutter Smita Krishnaswamy GNN 26 6 0 12 Oct 2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 47 111 0 12 Sep 2021
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank Kishan Wimalawarne Taiji Suzuki GNN 22 2 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 27 61 0 24 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 35 11 0 03 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 21 31 0 02 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 46 18 0 21 Jul 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 27 12 0 15 Jul 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 32 131 0 11 Jun 2021
Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition Zhenyue Qin Yang Liu Pan Ji Dongwoo Kim Lei Wang Bob McKay Saeed Anwar Tom Gedeon 3DPC 24 74 0 04 May 2021
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 28 20 0 07 Dec 2020
Geometric Scattering Attention Networks Yimeng Min Frederik Wenkel Guy Wolf 21 9 0 28 Oct 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 30 46 0 08 Sep 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016