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Hierarchical Graph Capsule Network

Hierarchical Graph Capsule Network

16 December 2020
Jinyu Yang
P. Zhao
Yu Rong
Chao-chao Yan
Chunyuan Li
Hehuan Ma
Junzhou Huang
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Papers citing "Hierarchical Graph Capsule Network"

13 / 13 papers shown
Title
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks
Thomas Bailie
Yun Sing Koh
S. Karthik Mukkavilli
V. Vetrova
AI4TS
48
0
0
01 Apr 2025
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for
  Physical Dynamics Learning
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
Zinan Zheng
Yang Liu
Jia Li
Jianhua Yao
Yu Rong
AI4CE
51
1
0
24 Jun 2024
Capsule Network Projectors are Equivariant and Invariant Learners
Capsule Network Projectors are Equivariant and Invariant Learners
Miles Everett
A. Durrant
Mingjun Zhong
Georgios Leontidis
SSL
3DPC
38
2
0
23 May 2024
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
Yusheng Zhao
Xiao Luo
Wei Ju
C. L. Philip Chen
Xiansheng Hua
Ming Zhang
AI4TS
25
26
0
21 Sep 2023
Visual Dependency Transformers: Dependency Tree Emerges from Reversed
  Attention
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention
Mingyu Ding
Yikang Shen
Lijie Fan
Zhenfang Chen
Z. Chen
Ping Luo
J. Tenenbaum
Chuang Gan
ViT
77
14
0
06 Apr 2023
Topological Pooling on Graphs
Topological Pooling on Graphs
Yuzhou Chen
Yulia R. Gel
17
10
0
25 Mar 2023
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
Zhixuan Chu
Hui Ding
Guang Zeng
Yuchen Huang
T. Yan
Yulin Kang
Sheng R. Li
18
7
0
22 Aug 2022
GPN: A Joint Structural Learning Framework for Graph Neural Networks
GPN: A Joint Structural Learning Framework for Graph Neural Networks
Qianggang Ding
Deheng Ye
Tingyang Xu
P. Zhao
24
0
0
12 May 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and
  Opportunities
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Chuang Liu
Yibing Zhan
Jia Wu
Chang Li
Bo Du
Wenbin Hu
Tongliang Liu
Dacheng Tao
GNN
AI4CE
22
78
0
15 Apr 2022
Incorporating Heterophily into Graph Neural Networks for Graph
  Classification
Incorporating Heterophily into Graph Neural Networks for Graph Classification
Jiayi Yang
Sourav Medya
Wei Ye
26
4
0
15 Mar 2022
Distribution Knowledge Embedding for Graph Pooling
Distribution Knowledge Embedding for Graph Pooling
Kaixuan Chen
Jie Song
Shunyu Liu
Na Yu
Zunlei Feng
Gengshi Han
Mingli Song
GNN
14
22
0
29 Sep 2021
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised
  Classification
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification
Rui Yang
Wenrui Dai
Chenglin Li
Junni Zou
H. Xiong
20
20
0
07 Dec 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
252
1,944
0
09 Jun 2018
1