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. 2010.12135
  4. Cited By
Graph Geometry Interaction Learning

Graph Geometry Interaction Learning

23 October 2020
Shichao Zhu
Shirui Pan
Chuan Zhou
Jia Wu
Yanan Cao
Bin Wang
ArXivPDFHTML

Papers citing "Graph Geometry Interaction Learning"

17 / 17 papers shown
Title
A Geometric Perspective for High-Dimensional Multiplex Graphs
A Geometric Perspective for High-Dimensional Multiplex Graphs
K. Abdous
Nairouz Mrabah
Mohamed Bouguessa
75
0
0
29 Jan 2025
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
36
3
0
25 Jan 2024
Distributional Signals for Node Classification in Graph Neural Networks
Distributional Signals for Node Classification in Graph Neural Networks
Feng Ji
See Hian Lee
Kai Zhao
Wee Peng Tay
Jielong Yang
10
2
0
07 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
30
3
0
03 Apr 2023
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
Sijie Wang
Qiyu Kang
Rui She
Wei Wang
K. Zhao
Yang Song
Wee Peng Tay
31
18
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
35
0
0
02 Mar 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean
  Space to Riemannian Manifold
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold
Yanhong Fei
Xian Wei
Yingjie Liu
Zhengyu Li
Mingsong Chen
28
6
0
16 Feb 2023
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention
  for Social-Text Classification
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Karish Grover
S. Angara
Md. Shad Akhtar
Tanmoy Chakraborty
16
12
0
15 Sep 2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications
Hyperbolic Graph Neural Networks: A Review of Methods and Applications
Menglin Yang
Min Zhou
Zhihao Li
Jiahong Liu
Lujia Pan
Hui Xiong
Irwin King
21
52
0
28 Feb 2022
Generative and Contrastive Self-Supervised Learning for Graph Anomaly
  Detection
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Yu Zheng
Ming Jin
Yixin Liu
Lianhua Chi
K. Phan
Yi-Ping Phoebe Chen
22
122
0
23 Aug 2021
Discrete-time Temporal Network Embedding via Implicit Hierarchical
  Learning in Hyperbolic Space
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
Menglin Yang
Min Zhou
Marcus Kalander
Zengfeng Huang
Irwin King
36
121
0
08 Jul 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Jia Wu
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
37
538
0
14 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks
Pseudo-Riemannian Graph Convolutional Networks
Bo Xiong
Shichao Zhu
Nico Potyka
Shirui Pan
Chuan Zhou
Steffen Staab
GNN
35
28
0
06 Jun 2021
Link Prediction with Persistent Homology: An Interactive View
Link Prediction with Persistent Homology: An Interactive View
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
10
46
0
20 Feb 2021
Model Extraction Attacks on Graph Neural Networks: Taxonomy and
  Realization
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Bang Wu
Xiangwen Yang
Shirui Pan
Xingliang Yuan
MIACV
MLAU
55
53
0
24 Oct 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based
  Semi-Supervised Learning
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Sheng Wan
Shirui Pan
Jian Yang
Chen Gong
SSL
22
137
0
15 Sep 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
259
3,239
0
24 Nov 2016
1