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"

22 / 22 papers shown

Title
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition Yanjie Cui Xiaohong Liu Jing Liang Yamin Fu 57 1 0 17 Jan 2025
Logical Distillation of Graph Neural Networks Alexander Pluska Pascal Welke Thomas Gärtner Sagar Malhotra 26 0 0 11 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 41 4 0 06 Jun 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 62 1 0 19 Mar 2024
FAENet: Frame Averaging Equivariant GNN for Materials Modeling Alexandre Duval Victor Schmidt A. Garcia Santiago Miret Fragkiskos D. Malliaros Yoshua Bengio David Rolnick 20 52 0 28 Apr 2023
Quality evaluation of point clouds: a novel no-reference approach using transformer-based architecture M. Tliba A. Chetouani G. Valenzise Frederic Dufaux 3DPC 11 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 23 0 0 02 Mar 2023
Connectivity Optimized Nested Graph Networks for Crystal Structures R. Ruff Patrick Reiser Jan Stuhmer Pascal Friederich GNN 21 10 0 27 Feb 2023
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 15 10 0 21 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 29 14 0 19 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 18 14 0 24 Sep 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 22 5 0 08 Jun 2022
Raising the Bar in Graph-level Anomaly Detection Chen Qiu Marius Kloft Stephan Mandt Maja R. Rudolph 22 60 0 27 May 2022
FairNorm: Fair and Fast Graph Neural Network Training Öykü Deniz Köse Yanning Shen AI4CE 11 4 0 20 May 2022
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 39 74 0 30 Jan 2022
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Bernard Ghanem V. Koltun GNN AI4CE 34 235 0 14 Jun 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 23 432 0 09 Jun 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 35 6 0 27 Jan 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 186 913 0 02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,941 0 09 Jun 2018
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 162 1,775 0 02 Mar 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,811 0 25 Nov 2016