A Survey on Oversmoothing in Graph Neural Networks

20 March 2023

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

50 / 117 papers shown

Title
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain Hyowon Wi Jeongwhan Choi Noseong Park 33 0 0 13 May 2025
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks Thomas Bailie Yun Sing Koh S. Karthik Mukkavilli V. Vetrova AI4TS 48 0 0 01 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Z. Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei-dong Jin AI4TS AI4CE 137 1 0 29 Mar 2025
Real-Time Manipulation Action Recognition with a Factorized Graph Sequence Encoder Enes Erdogan E. Aksoy Sanem Sariel 44 0 0 15 Mar 2025
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement Huidong Liang Haitz Sáez de Ocáriz Borde Baskaran Sripathmanathan Michael M. Bronstein Xiaowen Dong GNN 72 0 0 12 Mar 2025
GNNMerge: Merging of GNN Models Without Accessing Training Data Vipul Garg Ishita Thakre Sayan Ranu MoMe 82 0 0 05 Mar 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo Alessio Gravina Benjamin Gutteridge Federico Barbero Claudio Gallicchio Xiaowen Dong Michael M. Bronstein P. Vandergheynst 31 2 0 15 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks Jasraj Singh Keyue Jiang Brooks Paige Laura Toni 70 1 0 11 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Ziyang Zheng Shan Huang Jianyuan Zhong Zhengyuan Shi Guohao Dai Ningyi Xu Qiang Xu GNN 89 2 0 02 Feb 2025
Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics Keqin Wang Yulong Yang Ishan Saha Christine Allen-Blanchette 51 1 0 31 Jan 2025
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers James H. Tanis Chris Giannella Adrian V. Mariano AI4CE GNN FaML PINN 56 0 0 27 Dec 2024
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks Biswadeep Chakraborty H. Kumar Saibal Mukhopadhyay 82 1 0 10 Dec 2024
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Survey Hugo Attali Davide Buscaldi Nathalie Pernelle AI4CE 71 1 0 26 Nov 2024
Even Sparser Graph Transformers Hamed Shirzad Honghao Lin B. Venkatachalam A. Velingker David P. Woodruff Danica J. Sutherland GNN 96 3 0 25 Nov 2024
Graph neural networks and non-commuting operators Mauricio Velasco Kaiying O'Hare Bernardo Rychtenberg Soledad Villar GNN 115 1 0 06 Nov 2024
Federated GNNs for EEG-Based Stroke Assessment Andrea Protani Lorenzo Giusti Albert Sund Aillet Simona Sacco Paolo Manganotti ... Pierpaolo Brutti Pietro Caliandro Luigi Serio Pietro Caliandro Luigi Serio FedML 27 0 0 04 Nov 2024
A Hierarchical Language Model For Interpretable Graph Reasoning Sambhav Khurana Xiner Li Shurui Gui Shuiwang Ji LRM 34 0 0 29 Oct 2024
Understanding the Effect of GCN Convolutions in Regression Tasks Juntong Chen Johannes Schmidt-Hieber Claire Donnat Olga Klopp GNN 29 0 0 26 Oct 2024
Deep Graph Attention Networks Jun Kato Airi Mita Keita Gobara Akihiro Inokuchi GNN 19 0 0 21 Oct 2024
Bayesian Sheaf Neural Networks Patrick Gillespie Vasileios Maroulas Ioannis Schizas 21 1 0 12 Oct 2024
Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization Guangrui Yang Ming Li Han Feng Xiaosheng Zhuang GNN OOD BDL 35 2 0 11 Oct 2024
Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modeling Alessio Fallani Ramil I. Nugmanov Jose A. Arjona-Medina Jörg Kurt Wegner Alexandre Tkatchenko Kostiantyn Chernichenko MedIm AI4CE 29 0 0 10 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao 28 0 0 08 Oct 2024
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective Xueying Bai Yifan Sun Niranjan Balasubramanian CLL 24 0 0 08 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 23 0 0 08 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 40 1 0 07 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 30 5 0 04 Oct 2024
Diss-l-ECT: Dissecting Graph Data with local Euler Characteristic Transforms Julius von Rohrscheidt Bastian Alexander Rieck 19 0 0 03 Oct 2024
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling K. Mancini I. Rekik 40 1 0 29 Sep 2024
On the design space between molecular mechanics and machine learning force fields Yuanqing Wang Kenichiro Takaba Michael S. Chen Marcus Wieder Yuzhi Xu ... Kyunghyun Cho Joe G. Greener Peter K. Eastman Stefano Martiniani M. Tuckerman AI4CE 37 4 0 03 Sep 2024
VLSI Hypergraph Partitioning with Deep Learning Muhammad Hadir Khan Bugra Onal Eren Dogan Matthew R. Guthaus GNN 20 0 0 02 Sep 2024
Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid Subhankar Sarkar Souvik Chakraborty 25 0 0 01 Sep 2024
A GREAT Architecture for Edge-Based Graph Problems Like TSP Attila Lischka Jiaming Wu M. Chehreghani Balázs Kulcsár 21 1 0 29 Aug 2024
SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification Alan John Varghese Zhen Zhang George Karniadakis 28 2 0 29 Aug 2024
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning Sakhinana Sagar Srinivas Venkataramana Runkana AI4CE 33 1 0 27 Aug 2024
Cell-ontology guided transcriptome foundation model Xinyu Yuan Zhihao Zhan Zuobai Zhang Manqi Zhou Jianan Zhao Boyu Han Yue Li Jian Tang 47 1 0 22 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 27 3 0 31 Jul 2024
xAI-Drop: Don't Use What You Cannot Explain Vincenzo Marco De Luca Antonio Longa Andrea Passerini Pietro Lio' 40 0 0 29 Jul 2024
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations Giovanni Catalani Siddhant Agarwal Xavier Bertrand Frédéric Tost Michaël Bauerheim Joseph Morlier AI4CE 41 4 0 29 Jul 2024
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions Christian Nauck R. Gorantla M. Lindner Konstantin Schurholt Antonia S. J. S. Mey Frank Hellmann AI4CE 42 2 0 17 Jul 2024
Simplifying the Theory on Over-Smoothing Andreas Roth 46 2 0 16 Jul 2024
A Theoretical Formulation of Many-body Message Passing Neural Networks Jiatong Han 20 0 0 16 Jul 2024
MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI Yueyang Li Weiming Zeng Wenhao Dong Luhui Cai Lei Wang Hongyu Chen Hongjie Yan Lingbin Bian Nizhuan Wang 42 3 0 03 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 52 2 0 03 Jul 2024
GAT-Steiner: Rectilinear Steiner Minimal Tree Prediction Using GNNs Bugra Onal Eren Dogan Muhammad Hadir Khan Matthew R. Guthaus 18 0 0 01 Jul 2024
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks Guangrui Yang Jianfei Li Ming Li Han Feng Ding-Xuan Zhou 35 1 0 01 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 46 2 0 01 Jul 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation Ge Chen Yulan Hu Sheng Ouyang Yong Liu Cuicui Luo 35 0 0 25 Jun 2024
Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba Yuchen Zou Yineng Chen Zuchao Li Lefei Zhang Hai Zhao 47 1 0 24 Jun 2024
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks P. Samoaa Mehrdad Farahani Antonio Longa Philipp Leitner M. Chehreghani 32 0 0 17 Jun 2024