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Second-Order Pooling for Graph Neural Networks

Second-Order Pooling for Graph Neural Networks

20 July 2020
Zhengyang Wang
Shuiwang Ji
    GNN
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Papers citing "Second-Order Pooling for Graph Neural Networks"

11 / 11 papers shown
Title
Scalable Graph Compressed Convolutions
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
36
0
0
26 Jul 2024
MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI
MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI
Yueyang Li
Weiming Zeng
Wenhao Dong
Luhui Cai
Lei Wang
Hongyu Chen
Hongjie Yan
Lingbin Bian
Nizhuan Wang
42
3
0
03 Jul 2024
On GNN explanability with activation rules
On GNN explanability with activation rules
Luca Veyrin-Forrer
Ataollah Kamal
Stefan Duffner
Marc Plantevit
C. Robardet
AI4CE
21
2
0
17 Jun 2024
Clustering for Protein Representation Learning
Clustering for Protein Representation Learning
Ruijie Quan
Wenguan Wang
Fan Ma
Hehe Fan
Yi Yang
24
5
0
30 Mar 2024
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic
  Graphs
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
Jintang Li
Sheng Tian
Ruofan Wu
Liang Zhu
Welong Zhao
Changhua Meng
Liang Chen
Zibin Zheng
Hongzhi Yin
29
10
0
18 May 2023
Regularized Optimal Transport Layers for Generalized Global Pooling
  Operations
Regularized Optimal Transport Layers for Generalized Global Pooling Operations
Hongteng Xu
Minjie Cheng
30
4
0
13 Dec 2022
Tree-Constrained Graph Neural Networks For Argument Mining
Tree-Constrained Graph Neural Networks For Argument Mining
Federico Ruggeri
Marco Lippi
Paolo Torroni
21
3
0
02 Sep 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for
  Graph Representation Learning
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning
Ning Liu
Songlei Jian
Dongsheng Li
Yiming Zhang
Zhiquan Lai
Hongzuo Xu
18
30
0
13 Apr 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
Hao Yuan
Shuiwang Ji
GNN
80
7
0
06 Jan 2021
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
229
1,941
0
09 Jun 2018
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
144
1,464
0
06 Jun 2016
1