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Spectral Transform Forms Scalable Transformer

Spectral Transform Forms Scalable Transformer

15 November 2021
Bingxin Zhou
Xinliang Liu
Yuehua Liu
Yunyin Huang
Pietro Lio
Yuguang Wang
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Papers citing "Spectral Transform Forms Scalable Transformer"

43 / 43 papers shown
Title
Choose a Transformer: Fourier or Galerkin
Choose a Transformer: Fourier or Galerkin
Shuhao Cao
60
241
0
31 May 2021
FNet: Mixing Tokens with Fourier Transforms
FNet: Mixing Tokens with Fourier Transforms
James Lee-Thorp
Joshua Ainslie
Ilya Eckstein
Santiago Ontanon
90
526
0
09 May 2021
WGCN: Graph Convolutional Networks with Weighted Structural Features
WGCN: Graph Convolutional Networks with Weighted Structural Features
Yunxiang Zhao
Jianzhong Qi
Qingwei Liu
Rui Zhang
GNN
52
35
0
29 Apr 2021
How Framelets Enhance Graph Neural Networks
How Framelets Enhance Graph Neural Networks
Xuebin Zheng
Bingxin Zhou
Junbin Gao
Yu Guang Wang
Pietro Lio
Ming Li
Guido Montúfar
72
69
0
13 Feb 2021
A Survey on Understanding, Visualizations, and Explanation of Deep
  Neural Networks
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks
Atefeh Shahroudnejad
FaML
AAML
AI4CE
XAI
92
36
0
02 Feb 2021
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Xuebin Zheng
Bingxin Zhou
Yu Guang Wang
Xiaosheng Zhuang
71
35
0
12 Dec 2020
Graph Neural Networks for Improved El Niño Forecasting
Graph Neural Networks for Improved El Niño Forecasting
Salva Rühling Cachay
Emma Erickson
A. Bucker
Ernest Pokropek
Willa Potosnak
Salomey Osei
Björn Lütjens
22
11
0
02 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
530
40,739
0
22 Oct 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi
B. Chamberlain
Fabrizio Frasca
D. Eynard
Federico Monti
M. Bronstein
AI4CE
138
643
0
18 Jun 2020
Learning to Simulate Complex Physics with Graph Networks
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
PINN
AI4CE
129
1,080
0
21 Feb 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
85
622
0
19 Feb 2020
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Srijan Kumar
Xikun Zhang
J. Leskovec
AI4TS
66
732
0
03 Aug 2019
Fast Haar Transforms for Graph Neural Networks
Fast Haar Transforms for Graph Neural Networks
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
73
75
0
10 Jul 2019
Graph Wavelet Neural Network
Graph Wavelet Neural Network
Bingbing Xu
Huawei Shen
Qi Cao
Yunqi Qiu
Xueqi Cheng
GNN
63
330
0
12 Apr 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
H. Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
GNN
111
1,064
0
26 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
577
8,496
0
03 Jan 2019
Efficient Attention: Attention with Linear Complexities
Efficient Attention: Attention with Linear Complexities
Zhuoran Shen
Mingyuan Zhang
Haiyu Zhao
Shuai Yi
Hongsheng Li
89
527
0
04 Dec 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
214
7,623
0
01 Oct 2018
Adaptive Sampling Towards Fast Graph Representation Learning
Adaptive Sampling Towards Fast Graph Representation Learning
Wen-bing Huang
Tong Zhang
Yu Rong
Junzhou Huang
GNN
75
490
0
14 Sep 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
265
2,140
0
22 Jun 2018
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu
Chaochao Chen
Longfei Li
Jun Zhou
Xiaolong Li
Le Song
Yuan Qi
GNN
88
310
0
03 Feb 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
GNN
SSL
178
2,820
0
22 Jan 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
628
130,942
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
452
15,179
0
07 Jun 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
167
659
0
22 May 2017
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit S. Trivedi
H. Dai
Yichen Wang
Le Song
BDL
58
477
0
16 May 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
79
373
0
20 Apr 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
466
7,431
0
04 Apr 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
125
768
0
22 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
392
1,819
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
697
3,274
0
24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
577
28,999
0
09 Sep 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
310
7,646
0
30 Jun 2016
Stacked Attention Networks for Image Question Answering
Stacked Attention Networks for Image Question Answering
Zichao Yang
Xiaodong He
Jianfeng Gao
Li Deng
Alex Smola
BDL
103
1,877
0
07 Nov 2015
Diffusion-Convolutional Neural Networks
Diffusion-Convolutional Neural Networks
James Atwood
Don Towsley
GNN
DiffM
177
1,251
0
06 Nov 2015
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
A. Kumar
Ozan Irsoy
Peter Ondruska
Mohit Iyyer
James Bradbury
Ishaan Gulrajani
Victor Zhong
Romain Paulus
R. Socher
108
1,179
0
24 Jun 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
150
1,586
0
16 Jun 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
476
12,692
0
11 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
217
6,772
0
03 Sep 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
189
4,870
0
21 Dec 2013
Speech Recognition with Deep Recurrent Neural Networks
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves
Abdel-rahman Mohamed
Geoffrey E. Hinton
196
8,507
0
22 Mar 2013
Sequence Transduction with Recurrent Neural Networks
Sequence Transduction with Recurrent Neural Networks
Alex Graves
171
1,866
0
14 Nov 2012
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
120
3,972
0
31 Oct 2012
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