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FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding
v1v2 (latest)

FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding

27 February 2021
Menglin Yang
Ziqiao Meng
Irwin King
ArXiv (abs)PDFHTML

Papers citing "FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding"

15 / 15 papers shown
Title
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
Shengyin Sun
Yuxiang Ren
Chen Ma
Xuecang Zhang
205
24
0
24 Nov 2023
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
104
632
0
19 Feb 2020
Unifying Graph Convolutional Neural Networks and Label Propagation
Unifying Graph Convolutional Neural Networks and Label Propagation
Hongwei Wang
J. Leskovec
GNN
89
170
0
17 Feb 2020
PairNorm: Tackling Oversmoothing in GNNs
PairNorm: Tackling Oversmoothing in GNNs
Lingxiao Zhao
Leman Akoglu
71
510
0
26 Sep 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
110
1,346
0
25 Jul 2019
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
Ling Zhao
Yujiao Song
Chao Zhang
Yu Liu
Pu Wang
Tao Lin
Min Deng
Haifeng Li
AI4TS
92
2,030
0
12 Nov 2018
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
518
1,990
0
09 Jun 2018
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and
  Relations Discovery
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery
Ali Ziat
E. Delasalles
Ludovic Denoyer
Patrick Gallinari
BDLAI4TSAI4CE
63
74
0
23 Apr 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal
  Graphs
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Jiani Zhang
Xingjian Shi
Junyuan Xie
Hao Ma
Irwin King
Dit-Yan Yeung
GNN
110
573
0
20 Mar 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNNSSL
194
2,830
0
22 Jan 2018
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,906
0
03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
362
7,671
0
30 Jun 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
347
3,288
0
17 Nov 2015
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix
  Factorization
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization
Linhong Zhu
Dong Guo
Junming Yin
Greg Ver Steeg
Aram Galstyan
103
200
0
13 Nov 2014
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
263
9,800
0
26 Mar 2014
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