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Deep Hypergraph Structure Learning

Deep Hypergraph Structure Learning

26 August 2022
Zizhao Zhang
Yifan Feng
Shihui Ying
Yue Gao
ArXivPDFHTML

Papers citing "Deep Hypergraph Structure Learning"

16 / 16 papers shown
Title
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
Trong-Thuan Nguyen
Pha Nguyen
J. Cothren
Alper Yilmaz
Khoa Luu
135
1
0
27 Nov 2024
Improving Subgraph Recognition with Variational Graph Information
  Bottleneck
Improving Subgraph Recognition with Variational Graph Information Bottleneck
Junchi Yu
Jie Cao
Ran He
47
54
0
18 Dec 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural
  Networks
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Eli Chien
Chao Pan
Jianhao Peng
O. Milenkovic
GNN
87
132
0
24 Jun 2021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
Jing Huang
Jie Yang
AI4CE
GNN
54
175
0
03 May 2021
Graph Information Bottleneck
Graph Information Bottleneck
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
AAML
140
235
0
24 Oct 2020
Graph Information Bottleneck for Subgraph Recognition
Graph Information Bottleneck for Subgraph Recognition
Junchi Yu
Tingyang Xu
Yu Rong
Yatao Bian
Junzhou Huang
Ran He
47
157
0
12 Oct 2020
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs
Devanshu Arya
D. K. Gupta
Stevan Rudinac
Marcel Worring
57
78
0
09 Oct 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and
  Robust Node Embeddings
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu Chen
Lingfei Wu
Mohammed J Zaki
94
415
0
21 Jun 2020
Hypergraph Convolution and Hypergraph Attention
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Philip Torr
GNN
80
624
0
23 Jan 2019
Hypergraph Neural Networks
Hypergraph Neural Networks
Yifan Feng
Haoxuan You
Zizhao Zhang
Rongrong Ji
Yue Gao
GNN
78
1,374
0
25 Sep 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
468
20,124
0
30 Oct 2017
Deep Variational Information Bottleneck
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
117
1,720
0
01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
614
29,032
0
09 Sep 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Deep Learning and the Information Bottleneck Principle
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
204
1,584
0
09 Mar 2015
Estimating divergence functionals and the likelihood ratio by convex
  risk minimization
Estimating divergence functionals and the likelihood ratio by convex risk minimization
X. Nguyen
Martin J. Wainwright
Michael I. Jordan
221
803
0
04 Sep 2008
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