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Constant Curvature Graph Convolutional Networks

Constant Curvature Graph Convolutional Networks

12 November 2019
Gregor Bachmann
Gary Bécigneul
O. Ganea
    GNN
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Papers citing "Constant Curvature Graph Convolutional Networks"

17 / 17 papers shown
Title
Hyperbolic Diffusion Recommender Model
Hyperbolic Diffusion Recommender Model
Meng Yuan
Yutian Xiao
Wei Chen
Chu Zhao
Deqing Wang
Fuzhen Zhuang
32
1
0
02 Apr 2025
HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean
  Space
HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean Space
Jacob Fein-Ashley
Ethan Feng
Minh Pham
21
3
0
25 Sep 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message
  Passing and Hyperbolic Neural Networks
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
Jing Gu
Dongmian Zou
32
3
0
06 Mar 2024
Product Manifold Representations for Learning on Biological Pathways
Product Manifold Representations for Learning on Biological Pathways
Daniel McNeela
Frederic Sala
A. Gitter
GNN
67
2
0
27 Jan 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs
M. Hanik
Gabriele Steidl
C. V. Tycowicz
GNN
MedIm
19
3
0
25 Jan 2024
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
Kaushik Roy
Peyman Moghadam
Mehrtash Harandi
22
6
0
31 Jul 2023
Hyperbolic Representation Learning: Revisiting and Advancing
Hyperbolic Representation Learning: Revisiting and Advancing
Menglin Yang
Min Zhou
Rex Ying
Yankai Chen
Irwin King
29
19
0
15 Jun 2023
Hyperbolic Convolution via Kernel Point Aggregation
Hyperbolic Convolution via Kernel Point Aggregation
Eric Qu
Dongmian Zou
38
3
0
15 Jun 2023
Exploring Data Geometry for Continual Learning
Exploring Data Geometry for Continual Learning
Zhi Gao
C. Xu
Feng Li
Yunde Jia
Mehrtash Harandi
Yuwei Wu
CLL
18
9
0
08 Apr 2023
FMGNN: Fused Manifold Graph Neural Network
FMGNN: Fused Manifold Graph Neural Network
Cheng Deng
Fan Xu
Jiaxing Ding
Luoyi Fu
Weinan Zhang
Xinbing Wang
15
3
0
03 Apr 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural
  Networks
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks
Qiyu Kang
Kai Zhao
Yang Song
Sijie Wang
Rui She
Wee Peng Tay
28
0
0
02 Mar 2023
Hyperbolic Image Segmentation
Hyperbolic Image Segmentation
Mina Ghadimi Atigh
Julian Schoep
Erman Acar
N. V. Noord
Pascal Mettes
18
84
0
11 Mar 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
Xing Ai
Zhihong Zhang
Luzhe Sun
Junchi Yan
Edwin R. Hancock
GNN
25
11
0
13 Jan 2022
Curvature Graph Neural Network
Curvature Graph Neural Network
Haifeng Li
Jun Cao
Jiawei Zhu
Yu Liu
Qing Zhu
Guohua Wu
13
49
0
30 Jun 2021
Lorentzian Graph Convolutional Networks
Lorentzian Graph Convolutional Networks
Yiding Zhang
Xiao Wang
C. Shi
Nian Liu
Guojie Song
21
95
0
15 Apr 2021
Graph Geometry Interaction Learning
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Jia Wu
Yanan Cao
Bin Wang
56
90
0
23 Oct 2020
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
231
3,202
0
24 Nov 2016
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