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ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural
  Networks via Normalization

ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization

16 June 2022
Langzhang Liang
Zenglin Xu
Zixing Song
Irwin King
Yuan Qi
Jieping Ye
ArXivPDFHTML

Papers citing "ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization"

13 / 13 papers shown
Title
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing
Lukas Fesser
Melanie Weber
36
0
0
01 Mar 2025
Norm Augmented Graph AutoEncoders for Link Prediction
Yunhui Liu
Huaisong Zhang
Xinyi Gao
Liuye Guo
Zhen Tao
Tieke He
43
0
0
09 Feb 2025
All-around Neural Collapse for Imbalanced Classification
All-around Neural Collapse for Imbalanced Classification
Enhao Zhang
Chaohua Li
Chuanxing Geng
Songcan Chen
AI4CE
31
1
0
14 Aug 2024
Advancing Graph Generation through Beta Diffusion
Advancing Graph Generation through Beta Diffusion
Yilin He
Xinyang Liu
Bo Chen
Mingyuan Zhou
DiffM
24
0
0
13 Jun 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning
  on Heterophilic Graphs
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
Langzhang Liang
Sunwoo Kim
Kijung Shin
Zenglin Xu
Shirui Pan
Yuan Qi
37
3
0
31 May 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
Siyi Lin
Chongming Gao
Jiawei Chen
Sheng Zhou
Binbin Hu
Yan Feng
Chun-Yen Chen
Can Wang
24
6
0
18 Apr 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in
  Graph Neural Networks
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
Arjun Subramonian
Jian Kang
Yizhou Sun
AI4CE
32
4
0
04 Apr 2024
NP$^2$L: Negative Pseudo Partial Labels Extraction for Graph Neural
  Networks
NP2^22L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks
Xinjie Shen
Danyang Wu
Jitao Lu
Junjie Liang
Jin Xu
Feiping Nie
28
0
0
02 Oct 2023
Few-Shot Graph Learning for Molecular Property Prediction
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo
Chuxu Zhang
W. Yu
John E. Herr
Olaf Wiest
Meng-Long Jiang
Nitesh V. Chawla
AI4CE
106
168
0
16 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
176
187
0
01 Feb 2021
Geom-GCN: Geometric Graph Convolutional Networks
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
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
261
1,944
0
09 Jun 2018
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
232
446
0
28 Nov 2016
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