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"

34 / 84 papers shown

Title
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 32 61 0 27 May 2022
FairNorm: Fair and Fast Graph Neural Network Training Öykü Deniz Köse Yanning Shen AI4CE 16 4 0 20 May 2022
BronchusNet: Region and Structure Prior Embedded Representation Learning for Bronchus Segmentation and Classification Wenhao Huang Haifan Gong Huan Zhang Yu Wang Haofeng Li Guanbin Li H. Shen 24 4 0 14 May 2022
Towards Neural Sparse Linear Solvers Luca Grementieri P. Galeone 11 6 0 14 Mar 2022
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition Yan Yan T. Liao Jinjin Zhao Jiahong Wang Liang Ma Wei Lv Jing Xiong Lei Wang 18 20 0 14 Mar 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks Zhaoning Yu Hongyang Gao 34 40 0 01 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings Or Feldman A. Boyarski Shai Feldman D. Kogan A. Mendelson Chaim Baskin 32 14 0 31 Jan 2022
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 41 74 0 30 Jan 2022
Compositionality-Aware Graph2Seq Learning Takeshi D. Itoh Takatomi Kubo K. Ikeda 11 0 0 28 Jan 2022
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 15 27 0 14 Dec 2021
AnchorGAE: General Data Clustering via $O(n)$ Bipartite Graph Convolution Hongyuan Zhang Jiankun Shi Rui Zhang Xuelong Li GNN 77 1 0 12 Nov 2021
Edge Rewiring Goes Neural: Boosting Network Resilience without Rich Features Shanchao Yang Kaili Ma Baoxiang Wang Tianshu Yu H. Zha AAML 25 0 0 18 Oct 2021
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data Yijun Lin Yao-Yi Chiang AI4TS 11 1 0 14 Oct 2021
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs Anahita Iravanizad E. Medina Martin Stoll GNN 33 1 0 15 Sep 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 48 235 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 28 433 0 09 Jun 2021
Convergent Graph Solvers Junyoung Park J. Choo Jinkyoo Park 16 13 0 03 Jun 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth Keyulu Xu Mozhi Zhang Stefanie Jegelka Kenji Kawaguchi GNN 17 75 0 10 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning Hongkuan Zhou Ajitesh Srivastava Hanqing Zeng R. Kannan Viktor Prasanna GNN 19 64 0 10 May 2021
On the Importance of Sampling in Training GCNs: Tighter Analysis and Variance Reduction Weilin Cong M. Ramezani M. Mahdavi 21 5 0 03 Mar 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 45 6 0 27 Jan 2021
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels? Jingling Li Mozhi Zhang Keyulu Xu John P. Dickerson Jimmy Ba OOD NoLa 22 19 0 23 Dec 2020
Graph convolutions that can finally model local structure Rémy Brossard Oriel Frigo David Dehaene GNN 34 48 0 30 Nov 2020
Information Obfuscation of Graph Neural Networks Peiyuan Liao Han Zhao Keyulu Xu Tommi Jaakkola Geoffrey J. Gordon Stefanie Jegelka Ruslan Salakhutdinov AAML 23 34 0 28 Sep 2020
Group Whitening: Balancing Learning Efficiency and Representational Capacity Lei Huang Yi Zhou Li Liu Fan Zhu Ling Shao 22 20 0 28 Sep 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application Lei Huang Jie Qin Yi Zhou Fan Zhu Li Liu Ling Shao AI4CE 12 254 0 27 Sep 2020
Improving Graph Property Prediction with Generalized Readout Functions Eric Alcaide OOD AI4CE 16 0 0 21 Sep 2020
Wasserstein Embedding for Graph Learning Soheil Kolouri Navid Naderializadeh Gustavo K. Rohde Heiko Hoffmann GNN 24 85 0 16 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca S. Zafeiriou M. Bronstein 55 424 0 16 Jun 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 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 267 1,944 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 181 1,778 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 251 1,811 0 25 Nov 2016