ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.12892
  4. Cited By
Hyperbolic Graph Neural Networks

Hyperbolic Graph Neural Networks

28 October 2019
Qi Liu
Maximilian Nickel
Douwe Kiela
    AI4CE
    GNN
ArXivPDFHTML

Papers citing "Hyperbolic Graph Neural Networks"

38 / 188 papers shown
Title
Where are we in embedding spaces? A Comprehensive Analysis on Network
  Embedding Approaches for Recommender Systems
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
Sixiao Zhang
Hongxu Chen
Xiao Ming
Li-zhen Cui
Hongzhi Yin
Guandong Xu
24
39
0
19 May 2021
Unit Ball Model for Embedding Hierarchical Structures in the Complex
  Hyperbolic Space
Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space
Huiru Xiao
Caigao Jiang
Yangqiu Song
James Y. Zhang
Junwu Xiong
27
1
0
09 May 2021
GraphTheta: A Distributed Graph Neural Network Learning System With
  Flexible Training Strategy
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Yongchao Liu
Houyi Li
Guowei Zhang
Xintan Zeng
Yongyong Li
...
Peng Zhang
Zhao Li
Kefeng Deng
Changhua He
Wenguang Chen
GNN
44
11
0
21 Apr 2021
Lorentzian Graph Convolutional Networks
Lorentzian Graph Convolutional Networks
Yiding Zhang
Xiao Wang
C. Shi
Nian Liu
Guojie Song
29
96
0
15 Apr 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
Jindou Dai
Yuwei Wu
Zhi Gao
Yunde Jia
32
77
0
14 Apr 2021
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
Li Sun
Zhongbao Zhang
Jiawei Zhang
Feiyang Wang
Hao Peng
Sen Su
Philip S. Yu
BDL
15
73
0
06 Apr 2021
Parameterized Hypercomplex Graph Neural Networks for Graph
  Classification
Parameterized Hypercomplex Graph Neural Networks for Graph Classification
Tuan Le
Marco Bertolini
Frank Noé
Djork-Arné Clevert
16
15
0
30 Mar 2021
Unsupervised Hyperbolic Representation Learning via Message Passing
  Auto-Encoders
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
Jiwoong Park
Junho Cho
H. Chang
J. Choi
SSL
27
23
0
30 Mar 2021
Learning Hyperbolic Representations of Topological Features
Learning Hyperbolic Representations of Topological Features
Panagiotis Kyriakis
Iordanis Fostiropoulos
P. Bogdan
19
10
0
16 Mar 2021
Size-Invariant Graph Representations for Graph Classification
  Extrapolations
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua
Yangze Zhou
Bruno Ribeiro
OOD
35
108
0
08 Mar 2021
Linear Classifiers in Product Space Forms
Linear Classifiers in Product Space Forms
Puoya Tabaghi
Chao Pan
Eli Chien
Jianhao Peng
Olgica Milenković
32
9
0
19 Feb 2021
Switch Spaces: Learning Product Spaces with Sparse Gating
Switch Spaces: Learning Product Spaces with Sparse Gating
Shuai Zhang
Yi Tay
Wenqi Jiang
Da-Cheng Juan
Ce Zhang
54
7
0
17 Feb 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
Aligning Hyperbolic Representations: an Optimal Transport-based approach
Aligning Hyperbolic Representations: an Optimal Transport-based approach
Andrés Hoyos-Idrobo
OT
22
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
33
10
0
25 Nov 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
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
23
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
23
95
0
01 Oct 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
21
44
0
14 Aug 2020
Quaternion Graph Neural Networks
Quaternion Graph Neural Networks
Dai Quoc 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
Graph Convolutional Networks for Graphs Containing Missing Features
Graph Convolutional Networks for Graphs Containing Missing Features
Hibiki Taguchi
Xin Liu
T. Murata
GNN
33
84
0
09 Jul 2020
Isometric Graph Neural Networks
Isometric Graph Neural Networks
Matthew Walker
Bo Yan
Yiou Xiao
Yafei Wang
Ayan Acharya
GNN
22
2
0
16 Jun 2020
Hyperbolic Neural Networks++
Hyperbolic Neural Networks++
Ryohei Shimizu
Yusuke Mukuta
Tatsuya Harada
25
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
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
285
0
07 May 2020
Geoopt: Riemannian Optimization in PyTorch
Geoopt: Riemannian Optimization in PyTorch
Max Kochurov
R. Karimov
Sergei Kozlukov
22
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
24
385
0
01 May 2020
Revisiting Over-smoothing in Deep GCNs
Revisiting Over-smoothing in Deep GCNs
Chaoqi Yang
Ruijie Wang
Shuochao Yao
Shengzhong Liu
Tarek F. Abdelzaher
26
93
0
30 Mar 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
20
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
19
67
0
15 Feb 2020
Hyperbolic Graph Attention Network
Hyperbolic Graph Attention Network
Yiding Zhang
Tianlin Li
Xunqiang Jiang
C. Shi
Yanfang Ye
GNN
27
129
0
06 Dec 2019
Constant Curvature Graph Convolutional Networks
Constant Curvature Graph Convolutional Networks
Gregor Bachmann
Gary Bécigneul
O. Ganea
GNN
27
132
0
12 Nov 2019
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural Networks
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
32
629
0
28 Oct 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,340
0
12 Feb 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,240
0
24 Nov 2016
Previous
1234