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Hyperbolic Graph Convolutional Neural Networks

Hyperbolic Graph Convolutional Neural Networks

28 October 2019
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
    GNN
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Papers citing "Hyperbolic Graph Convolutional Neural Networks"

46 / 296 papers shown
Title
HSR: Hyperbolic Social Recommender
HSR: Hyperbolic Social Recommender
Anchen Li
Bo Yang
26
19
0
15 Feb 2021
Hyperbolic Generative Adversarial Network
Hyperbolic Generative Adversarial Network
Diego Lazcano
Nicolás Fredes Franco
Werner Creixell
GAN
15
10
0
10 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization
  Framework
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
Xiao Wang
C. Shi
Houye Ji
Peng Cui
AI4CE
54
197
0
28 Jan 2021
Kähler Geometry of Quiver Varieties and Machine Learning
Kähler Geometry of Quiver Varieties and Machine Learning
G. Jeffreys
Siu-Cheong Lau
13
5
0
27 Jan 2021
FGNET-RH: Fine-Grained Named Entity Typing via Refinement in Hyperbolic
  Space
FGNET-RH: Fine-Grained Named Entity Typing via Refinement in Hyperbolic Space
Muhammad Asif Ali
Yifang Sun
Bing Li
Wei Wang
17
1
0
27 Jan 2021
A Literature Review of Recent Graph Embedding Techniques for Biomedical
  Data
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data
Yankai Chen
Yaozu Wu
Shicheng Ma
Irwin King
12
6
0
17 Jan 2021
Learning the Predictability of the Future
Learning the Predictability of the Future
Dídac Surís
Ruoshi Liu
Carl Vondrick
24
71
0
01 Jan 2021
Self-Supervised Hyperboloid Representations from Logical Queries over
  Knowledge Graphs
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
Nurendra Choudhary
Nikhil S. Rao
S. Katariya
Karthik Subbian
Chandan K. Reddy
16
64
0
23 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development
Utilising Graph Machine Learning within Drug Discovery and Development
Thomas Gaudelet
Ben Day
Arian R. Jamasb
Jyothish Soman
Cristian Regep
...
Jian Tang
D. Roblin
Tom L. Blundell
M. Bronstein
J. Taylor-King
AI4CE
27
36
0
09 Dec 2020
Capturing implicit hierarchical structure in 3D biomedical images with
  self-supervised hyperbolic representations
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
Joy Hsu
Jeffrey Gu
Gong-Her Wu
Wah Chiu
Serena Yeung
SSL
36
27
0
03 Dec 2020
Aligning Hyperbolic Representations: an Optimal Transport-based approach
Aligning Hyperbolic Representations: an Optimal Transport-based approach
Andrés Hoyos-Idrobo
OT
19
8
0
02 Dec 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques,
  Applications and Sources
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Xiao Wang
Deyu Bo
C. Shi
Shaohua Fan
Yanfang Ye
Philip S. Yu
AI4TS
38
294
0
30 Nov 2020
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic
  Graph
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph
Yadan Luo
Zi Huang
Hongxu Chen
Yang Yang
Mahsa Baktash
25
10
0
25 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node
  Representation Learning
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
19
186
0
30 Oct 2020
Graph Geometry Interaction Learning
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Jia Wu
Yanan Cao
Bin Wang
71
90
0
23 Oct 2020
A Theory of Hyperbolic Prototype Learning
A Theory of Hyperbolic Prototype Learning
Martin Keller-Ressel
15
3
0
15 Oct 2020
Knowledge Association with Hyperbolic Knowledge Graph Embeddings
Knowledge Association with Hyperbolic Knowledge Graph Embeddings
Zequn Sun
Muhao Chen
Wei Hu
Chengming Wang
Jian Dai
Wei Zhang
15
82
0
05 Oct 2020
A Fully Hyperbolic Neural Model for Hierarchical Multi-Class
  Classification
A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification
F. López
Michael Strube
15
28
0
05 Oct 2020
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical
  Clustering
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
Ines Chami
Albert Gu
Vaggos Chatziafratis
Christopher Ré
21
95
0
01 Oct 2020
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
30
46
0
08 Sep 2020
Graph-based Modeling of Online Communities for Fake News Detection
Graph-based Modeling of Online Communities for Fake News Detection
Shantanu Chandra
Pushkar Mishra
H. Yannakoudakis
Madhav Nimishakavi
Marzieh Saeidi
Ekaterina Shutova
GNN
13
44
0
14 Aug 2020
Quaternion Graph Neural Networks
Quaternion Graph Neural Networks
D. Q. Nguyen
T. Nguyen
Dinh Q. Phung
GNN
25
32
0
12 Aug 2020
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action
  Recognition
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition
Wei Peng
Jingang Shi
Zhaoqiang Xia
Guoying Zhao
GNN
26
60
0
30 Jul 2020
Robust Hierarchical Graph Classification with Subgraph Attention
Robust Hierarchical Graph Classification with Subgraph Attention
S. Bandyopadhyay
Manasvi Aggarwal
M. Murty
GNN
14
3
0
19 Jul 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
28
53
0
15 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features
Graph Convolutional Networks for Graphs Containing Missing Features
Hibiki Taguchi
Xin Liu
T. Murata
GNN
25
84
0
09 Jul 2020
Multi-Manifold Learning for Large-scale Targeted Advertising System
Multi-Manifold Learning for Large-scale Targeted Advertising System
Kyuyong Shin
Young-Jin Park
KyungHyun Kim
Sunyoung Kwon
9
6
0
05 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang
Meiqi Zhu
Deyu Bo
Peng Cui
C. Shi
J. Pei
BDL
22
480
0
05 Jul 2020
Nested Subspace Arrangement for Representation of Relational Data
Nested Subspace Arrangement for Representation of Relational Data
Nozomi Hata
S. Kaji
Akihiro Yoshida
Katsuki Fujisawa
23
3
0
04 Jul 2020
Isometric Graph Neural Networks
Isometric Graph Neural Networks
Matthew Walker
Bo Yan
Yiou Xiao
Yafei Wang
Ayan Acharya
GNN
14
2
0
16 Jun 2020
Hyperbolic Neural Networks++
Hyperbolic Neural Networks++
Ryohei Shimizu
Yusuke Mukuta
Tatsuya Harada
20
0
0
15 Jun 2020
Optimal Transport Graph Neural Networks
Optimal Transport Graph Neural Networks
Benson Chen
Gary Bécigneul
O. Ganea
Regina Barzilay
Tommi Jaakkola
OT
39
44
0
08 Jun 2020
Single-Layer Graph Convolutional Networks For Recommendation
Single-Layer Graph Convolutional Networks For Recommendation
Yue Xu
Hao Chen
Zengde Deng
Junxiong Zhu
Yanghua Li
Peng He
Wen-yuan Gao
Wenjun Xu
GNN
14
1
0
07 Jun 2020
Graphs, Entities, and Step Mixture
Graphs, Entities, and Step Mixture
Kyuyong Shin
Wonyoung Shin
Jung-Woo Ha
Sunyoung Kwon
17
1
0
18 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
22
284
0
07 May 2020
Geoopt: Riemannian Optimization in PyTorch
Geoopt: Riemannian Optimization in PyTorch
Max Kochurov
R. Karimov
Sergei Kozlukov
16
114
0
06 May 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Ines Chami
A. Wolf
Da-Cheng Juan
Frederic Sala
Sujith Ravi
Christopher Ré
16
385
0
01 May 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural
  Networks
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Chaojie Ji
Ruxin Wang
Hongyan Wu
23
7
0
21 Apr 2020
Differentiating through the Fréchet Mean
Differentiating through the Fréchet Mean
Aaron Lou
Isay Katsman
Qingxuan Jiang
Serge J. Belongie
Ser-Nam Lim
Christopher De Sa
DRL
18
61
0
29 Feb 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows
Latent Variable Modelling with Hyperbolic Normalizing Flows
A. Bose
Ariella Smofsky
Renjie Liao
Prakash Panangaden
William L. Hamilton
DRL
11
65
0
15 Feb 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Anees Kazi
Luca Cosmo
Seyed-Ahmad Ahmadi
Nassir Navab
M. Bronstein
GNN
MedIm
14
129
0
11 Feb 2020
Bilinear Graph Neural Network with Neighbor Interactions
Bilinear Graph Neural Network with Neighbor Interactions
Hongmin Zhu
Fuli Feng
Xiangnan He
Xiang Wang
Yan Li
Kai Zheng
Yongdong Zhang
10
3
0
10 Feb 2020
Hyperbolic Graph Attention Network
Hyperbolic Graph Attention Network
Yiding Zhang
Tianlin Li
Xunqiang Jiang
C. Shi
Yanfang Ye
GNN
19
129
0
06 Dec 2019
Constant Curvature Graph Convolutional Networks
Constant Curvature Graph Convolutional Networks
Gregor Bachmann
Gary Bécigneul
O. Ganea
GNN
24
132
0
12 Nov 2019
Hyperbolic Graph Neural Networks
Hyperbolic Graph Neural Networks
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CE
GNN
28
370
0
28 Oct 2019
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