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Pre-training Graph Transformer with Multimodal Side Information for
  Recommendation
v1v2 (latest)

Pre-training Graph Transformer with Multimodal Side Information for Recommendation

23 October 2020
Yong Liu
Susen Yang
Chenyi Lei
Guoxin Wang
Haihong Tang
Juyong Zhang
Aixin Sun
Chunyan Miao
ArXiv (abs)PDFHTML

Papers citing "Pre-training Graph Transformer with Multimodal Side Information for Recommendation"

27 / 27 papers shown
Title
GPT-GNN: Generative Pre-Training of Graph Neural Networks
GPT-GNN: Generative Pre-Training of Graph Neural Networks
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Kai-Wei Chang
Yizhou Sun
SSLAI4CE
160
564
0
27 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
239
960
0
17 Jun 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Jiawei Zhang
Haopeng Zhang
Congying Xia
Li Sun
100
306
0
15 Jan 2020
UNITER: UNiversal Image-TExt Representation Learning
UNITER: UNiversal Image-TExt Representation Learning
Yen-Chun Chen
Linjie Li
Licheng Yu
Ahmed El Kholy
Faisal Ahmed
Zhe Gan
Yu Cheng
Jingjing Liu
VLMOT
121
448
0
25 Sep 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
236
8,451
0
19 Jun 2019
Strategies for Pre-training Graph Neural Networks
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSLAI4CE
120
1,416
0
29 May 2019
Neural Graph Collaborative Filtering
Neural Graph Collaborative Filtering
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
191
2,997
0
20 May 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A
  Survey
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing
Yingli Tian
SSL
180
1,701
0
16 Feb 2019
Rethinking ImageNet Pre-training
Rethinking ImageNet Pre-training
Kaiming He
Ross B. Girshick
Piotr Dollár
VLMSSeg
132
1,087
0
21 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
130
2,399
0
27 Sep 2018
Personalized Top-N Sequential Recommendation via Convolutional Sequence
  Embedding
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
Jiaxi Tang
Ke Wang
BDL
81
1,711
0
19 Sep 2018
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
113
1,794
0
22 Sep 2017
Deep & Cross Network for Ad Click Predictions
Deep & Cross Network for Ad Click Predictions
Ruoxi Wang
Bin Fu
Gang Fu
Mingliang Wang
104
1,237
0
17 Aug 2017
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
805
132,725
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
516
15,369
0
07 Jun 2017
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
155
3,595
0
21 Nov 2016
CNN Architectures for Large-Scale Audio Classification
CNN Architectures for Large-Scale Audio Classification
Shawn Hershey
Sourish Chaudhuri
D. Ellis
J. Gemmeke
A. Jansen
...
Rif A. Saurous
Bryan Seybold
M. Slaney
Ron J. Weiss
K. Wilson
130
2,510
0
29 Sep 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
435
18,361
0
27 May 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
817
39,255
0
09 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
382
14,268
0
23 Feb 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with
  One-Class Collaborative Filtering
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Ruining He
Julian McAuley
156
2,066
0
04 Feb 2016
Session-based Recommendations with Recurrent Neural Networks
Session-based Recommendations with Recurrent Neural Networks
Balázs Hidasi
Alexandros Karatzoglou
L. Baltrunas
D. Tikk
98
2,099
0
21 Nov 2015
LINE: Large-scale Information Network Embedding
LINE: Large-scale Information Network Embedding
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
GNN
144
5,340
0
12 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
267
9,809
0
26 Mar 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
404
33,573
0
16 Oct 2013
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