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HDMI: High-order Deep Multiplex Infomax

HDMI: High-order Deep Multiplex Infomax

15 February 2021
Baoyu Jing
Chanyoung Park
Hanghang Tong
ArXivPDFHTML

Papers citing "HDMI: High-order Deep Multiplex Infomax"

31 / 31 papers shown
Title
Dual Test-time Training for Out-of-distribution Recommender System
Dual Test-time Training for Out-of-distribution Recommender System
Xihong Yang
Yiqi Wang
Jin Chen
Wenqi Fan
Xiangyu Zhao
En Zhu
Xinwang Liu
Defu Lian
TTA
160
7
0
13 Mar 2025
A Geometric Perspective for High-Dimensional Multiplex Graphs
A Geometric Perspective for High-Dimensional Multiplex Graphs
K. Abdous
Nairouz Mrabah
Mohamed Bouguessa
101
0
0
29 Jan 2025
CDC: A Simple Framework for Complex Data Clustering
CDC: A Simple Framework for Complex Data Clustering
Zhao Kang
Xuanting Xie
Bingheng Li
Erlin Pan
99
10
0
10 Jan 2025
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
Yihong Ma
Ning Yan
Jiayu Li
Masood S. Mortazavi
Nitesh Chawla
62
18
0
23 Oct 2023
Graph Representation Learning via Graphical Mutual Information
  Maximization
Graph Representation Learning via Graphical Mutual Information Maximization
Zhen Peng
Wenbing Huang
Minnan Luo
Q. Zheng
Yu Rong
Tingyang Xu
Junzhou Huang
SSL
105
572
0
04 Feb 2020
Unsupervised Attributed Multiplex Network Embedding
Unsupervised Attributed Multiplex Network Embedding
Chanyoung Park
Donghyun Kim
Jiawei Han
Hwanjo Yu
52
254
0
15 Nov 2019
CCMI : Classifier based Conditional Mutual Information Estimation
CCMI : Classifier based Conditional Mutual Information Estimation
Sudipto Mukherjee
Himanshu Asnani
Sreeram Kannan
VLM
89
81
0
05 Jun 2019
Representation Learning for Attributed Multiplex Heterogeneous Network
Representation Learning for Attributed Multiplex Heterogeneous Network
Yukuo Cen
Xu Zou
Jianwei Zhang
Hongxia Yang
Jingren Zhou
Jie Tang
GNN
54
429
0
05 May 2019
Deep Spectral Clustering using Dual Autoencoder Network
Deep Spectral Clustering using Dual Autoencoder Network
Xu Yang
Cheng Deng
Feng Zheng
Junchi Yan
Wen Liu
51
250
0
30 Apr 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
614
5,457
0
20 Dec 2018
Learning Speaker Representations with Mutual Information
Learning Speaker Representations with Mutual Information
Mirco Ravanelli
Yoshua Bengio
SSL
DRL
43
91
0
01 Dec 2018
No Place to Hide: Catching Fraudulent Entities in Tensors
No Place to Hide: Catching Fraudulent Entities in Tensors
Yikun Ban
Xin Liu
Yitao Duan
Xue Liu
Wenyuan Xu
87
28
0
15 Oct 2018
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
110
2,368
0
27 Sep 2018
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSL
DRL
256
2,649
0
20 Aug 2018
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
Yu Shi
Fangqiu Han
Xinwei He
Xinran He
Carl Yang
Jie Luo
Jiawei Han
3DV
33
55
0
19 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
352
19,991
0
30 Oct 2017
An Attention-based Collaboration Framework for Multi-View Network
  Representation Learning
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Meng Qu
Jian Tang
Jingbo Shang
Xiang Ren
Ming Zhang
Jiawei Han
GNN
39
167
0
19 Sep 2017
InfoVAE: Information Maximizing Variational Autoencoders
InfoVAE: Information Maximizing Variational Autoencoders
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
72
442
0
07 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
410
15,066
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
489
28,901
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
156
10,825
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
259
7,622
0
30 Jun 2016
Image Captioning with Semantic Attention
Image Captioning with Semantic Attention
Quanzeng You
Hailin Jin
Zhaowen Wang
Chen Fang
Jiebo Luo
VLM
159
1,657
0
12 Mar 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
103
2,048
0
04 Feb 2016
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
111
5,323
0
12 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
972
149,474
0
22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
401
27,205
0
01 Sep 2014
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
227
9,735
0
26 Mar 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
147
4,856
0
21 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
376
16,962
0
20 Dec 2013
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
NAI
OCL
306
33,445
0
16 Oct 2013
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