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Gaussian Graph with Prototypical Contrastive Learning in E-Commerce
  Bundle Recommendation

Gaussian Graph with Prototypical Contrastive Learning in E-Commerce Bundle Recommendation

25 July 2023
Zhao-Yang Liu
Liucheng Sun
Chenwei Weng
Qijin Chen
Chengfu Huo
ArXiv (abs)PDFHTML

Papers citing "Gaussian Graph with Prototypical Contrastive Learning in E-Commerce Bundle Recommendation"

16 / 16 papers shown
Title
Enhancing Sequential Recommendation with Graph Contrastive Learning
Enhancing Sequential Recommendation with Graph Contrastive Learning
Yixin Zhang
Yong Liu
Yonghui Xu
Hao Xiong
Chenyi Lei
Weiliang He
Li-zhen Cui
Chunyan Miao
82
59
0
30 May 2022
Activation Functions in Deep Learning: A Comprehensive Survey and
  Benchmark
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
S. Dubey
S. Singh
B. B. Chaudhuri
94
672
0
29 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
Baoyu Jing
Shengyu Feng
Yuejia Xiang
Xi Chen
Yu Chen
Hanghang Tong
144
28
0
08 Sep 2021
Prototypical Graph Contrastive Learning
Prototypical Graph Contrastive Learning
Shuai Lin
Pan Zhou
Zi-Yuan Hu
Shuojia Wang
Ruihui Zhao
Yefeng Zheng
Liang Lin
Eric Xing
Xiaodan Liang
62
87
0
17 Jun 2021
Personalized Bundle Recommendation in Online Games
Personalized Bundle Recommendation in Online Games
Qilin Deng
Kai Wang
M. Zhao
Zhene Zou
Runze Wu
Jianrong Tao
Changjie Fan
Liang Chen
52
65
0
12 Apr 2021
Item Tagging for Information Retrieval: A Tripartite Graph Neural
  Network based Approach
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
Kelong Mao
Xi Xiao
Jieming Zhu
Biao Lu
Ruiming Tang
Xiuqiang He
58
23
0
26 Aug 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
H. Hafidi
Mounir Ghogho
P. Ciblat
A. Swami
SSL
75
53
0
15 Jul 2020
Convolutional Gaussian Embeddings for Personalized Recommendation with
  Uncertainty
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty
Junyan Jiang
Deqing Yang
Yanghua Xiao
Chenlu Shen
61
26
0
19 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
264
4,098
0
17 Jun 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSLDRL
139
975
0
11 May 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
191
3,685
0
06 Feb 2020
Gaussian Embedding of Large-scale Attributed Graphs
Gaussian Embedding of Large-scale Attributed Graphs
B. Hettige
Yuan-Fang Li
Weiqing Wang
Wray Buntine
BDL
28
7
0
02 Dec 2019
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
194
4,837
0
17 Mar 2017
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
220
4,289
0
04 Jun 2013
BPR: Bayesian Personalized Ranking from Implicit Feedback
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
157
5,735
0
09 May 2012
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