A Survey on Oversmoothing in Graph Neural Networks

20 March 2023

Papers citing "A Survey on Oversmoothing in Graph Neural Networks"

17 / 117 papers shown

Title
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting Andrea Cini Danilo P. Mandic C. Alippi AI4TS 26 9 0 30 May 2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks Xinyi Wu A. Ajorlou Zihui Wu Ali Jadbabaie 13 34 0 25 May 2023
Neural Oscillators are Universal S. Lanthaler T. Konstantin Rusch Siddhartha Mishra 27 9 0 15 May 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities Yongcheng Jing Xinchao Wang Dacheng Tao 35 21 0 23 Apr 2023
Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks Mathilde Papillon Sophia Sanborn Mustafa Hajij Nina Miolane 3DV AI4CE 30 33 0 20 Apr 2023
Feudal Graph Reinforcement Learning Tommaso Marzi Arshjot Khehra Andrea Cini C. Alippi 22 0 0 11 Apr 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 19 2 0 17 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey L. Delong Ramon Fernández Mir Jacques D. Fleuriot NAI 28 12 0 14 Feb 2023
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 21 26 0 25 Nov 2022
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 96 52 0 06 Oct 2022
Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch B. Chamberlain Michael W. Mahoney Michael M. Bronstein Siddhartha Mishra 76 53 0 02 Oct 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 18 43 0 22 Jun 2022
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks Weigang Lu Yibing Zhan Binbin Lin Ziyu Guan Liu Liu Baosheng Yu Wei Zhao Yaming Yang Dacheng Tao GNN 13 13 0 22 Dec 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016