GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training

7 September 2020

Tianle Cai

Papers citing "GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training"

50 / 84 papers shown

Title
The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration Jae Hyeok Lee Minjun Kim J. Park Changhyun Kwon 25 0 0 21 Apr 2025
Embedding spatial context in urban traffic forecasting with contrastive pre-training Matthew Low Arian Prabowo Hao Xue Flora D. Salim AI4TS 67 0 0 19 Mar 2025
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence Yuankai Luo Lei Shi Xiao-Ming Wu AI4CE 72 0 0 13 Feb 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 45 0 0 28 Jan 2025
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition Yanjie Cui Xiaohong Liu Jing Liang Yamin Fu 59 1 0 17 Jan 2025
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning Jaesun Shin Eunjoo Jeon Taewon Cho Namkyeong Cho Youngjune Gwon 36 0 0 23 Dec 2024
Equivariant Graph Attention Networks with Structural Motifs for Predicting Cell Line-Specific Synergistic Drug Combinations Zachary Schwehr GNN 24 0 0 07 Nov 2024
Strongly Topology-preserving GNNs for Brain Graph Super-resolution Pragya Singh Islem Rekik 26 0 0 01 Nov 2024
TopER: Topological Embeddings in Graph Representation Learning Astrit Tola Funmilola Mary Taiwo Cüneyt Gürcan Akçora Baris Coskunuzer 30 0 0 02 Oct 2024
Distribution Learning for Molecular Regression Nima Shoghi Pooya Shoghi Anuroop Sriram Abhishek Das OOD 27 0 0 30 Jul 2024
Global Confidence Degree Based Graph Neural Network for Financial Fraud Detection Jiaxun Liu Yue Tian Guanjun Liu 27 0 0 24 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 55 2 0 03 Jul 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 37 16 0 13 Jun 2024
Logical Distillation of Graph Neural Networks Alexander Pluska Pascal Welke Thomas Gärtner Sagar Malhotra 28 0 0 11 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 49 4 0 06 Jun 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Michael Scholkemper Xinyi Wu Ali Jadbabaie Michael T. Schaub 31 6 0 05 Jun 2024
Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call Graphlets Josh Collyer Tim Watson Iain Phillips GNN 20 0 0 02 Jun 2024
GATE: How to Keep Out Intrusive Neighbors Nimrah Mustafa R. Burkholz 44 0 0 01 Jun 2024
drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network Yoshitaka Inoue Hunmin Lee Tianfan Fu Augustin Luna 35 6 0 14 May 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 33 5 0 20 Apr 2024
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization Yao Ni Piotr Koniusz AI4CE GAN 40 1 0 31 Mar 2024
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions Azmine Toushik Wasi Taki Hasan Rafi Raima Islam Serbetar Karlo Dong-Kyu Chae 44 0 0 25 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 72 2 0 19 Mar 2024
Dynamics-based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction Majd Al Aawar Srikar Mutnuri Mansooreh Montazerin Ajitesh Srivastava 25 3 0 07 Jan 2024
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships Abhra Chaudhuri Massimiliano Mancini Zeynep Akata Anjan Dutta 26 2 0 24 Oct 2023
Are GATs Out of Balance? Nimrah Mustafa Aleksandar Bojchevski R. Burkholz 48 4 0 11 Oct 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data Tianyu Liu Yuge Wang Rex Ying Hongyu Zhao 29 12 0 29 Sep 2023
Proposing an intelligent mesh smoothing method with graph neural networks Zhichao Wang Xinhai Chen Junjun Yan Jie Liu AI4CE 23 1 0 24 Sep 2023
CNS: Correspondence Encoded Neural Image Servo Policy An-Jen Chen Hongxiang Yu Yue Wang Rong Xiong 3DV 24 3 0 16 Sep 2023
Efficient 3D Semantic Segmentation with Superpoint Transformer Damien Robert Hugo Raguet Loic Landrieu ViT 19 45 0 13 Jun 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization Kaixuan Chen Shunyu Liu Tongtian Zhu Tongya Zheng Haofei Zhang Zunlei Feng Jingwen Ye Mingli Song 42 14 0 31 May 2023
Neural incomplete factorization: learning preconditioners for the conjugate gradient method Paul Hausner Ozan Oktem Jens Sjölund 51 7 0 25 May 2023
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification Guang Yang Tiancheng Jin Liang Dou 13 2 0 07 May 2023
FAENet: Frame Averaging Equivariant GNN for Materials Modeling Alexandre Duval Victor Schmidt A. Garcia Santiago Miret Fragkiskos D. Malliaros Yoshua Bengio David Rolnick 34 54 0 28 Apr 2023
Quality evaluation of point clouds: a novel no-reference approach using transformer-based architecture Marouane Tliba A. Chetouani G. Valenzise Frederic Dufaux 3DPC 13 1 0 15 Mar 2023
Technical report: Graph Neural Networks go Grammatical Jason Piquenot Aldo Moscatelli Maxime Bérar Pierre Héroux R. Raveaux Jean-Yves Ramel Sébastien Adam 25 1 0 02 Mar 2023
Asymmetric Learning for Graph Neural Network based Link Prediction Kai-Lang Yao Wusuo Li 29 1 0 01 Mar 2023
Connectivity Optimized Nested Graph Networks for Crystal Structures R. Ruff Patrick Reiser Jan Stuhmer Pascal Friederich GNN 28 11 0 27 Feb 2023
Efficiently predicting high resolution mass spectra with graph neural networks M. Murphy Stefanie Jegelka E. Fraenkel T. Kind David Healey Thomas Butler 14 13 0 26 Jan 2023
Latent Graph Representations for Critical View of Safety Assessment Aditya Murali Deepak Alapatt Pietro Mascagni Armine Vardazaryan Alain Garcia Nariaki Okamoto Didier Mutter N. Padoy MedIm 18 19 0 08 Dec 2022
Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution E. Medina S. Linke Martin Stoll K. Sundmacher 30 11 0 02 Dec 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 27 10 0 21 Nov 2022
PCQA-GRAPHPOINT: Efficients Deep-Based Graph Metric For Point Cloud Quality Assessment Marouane Tliba A. Chetouani G. Valenzise Frederic Dufaux 3DPC 14 14 0 04 Nov 2022
Deep Distance Sensitivity Oracles Davin Jeong Allison Gunby-Mann S. Cohen Maximilian Katzmann Chau Pham Arnav Bhakta Tobias Friedrich Sang Chin 19 0 0 02 Nov 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 32 14 0 19 Oct 2022
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics S. Rizvi Akash Awasthi Maria J. Peláez Zhihui Wang V. Cristini Hien Nguyen P. Dogra 11 1 0 12 Oct 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 23 14 0 24 Sep 2022
Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression Haitz Sáez de Ocáriz Borde Federico Barbero 24 2 0 24 Sep 2022
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets Lily H. Zhang Veronica Tozzo J. Higgins Rajesh Ranganath BDL MoE 19 16 0 23 Jun 2022
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization Langzhang Liang Zenglin Xu Zixing Song Irwin King Yuan Qi Jieping Ye 32 21 0 16 Jun 2022