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Graph U-Nets

Graph U-Nets

11 May 2019
Hongyang Gao
Shuiwang Ji
    AI4CESSLSSegGNN
ArXiv (abs)PDFHTML

Papers citing "Graph U-Nets"

50 / 510 papers shown
Title
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis
Xiaoxiao Li
Yuan Zhou
Nicha Dvornek
Muhan Zhang
Juntang Zhuang
P. Ventola
James S Duncan
86
60
0
29 Jul 2020
Differentiable Manifold Reconstruction for Point Cloud Denoising
Differentiable Manifold Reconstruction for Point Cloud Denoising
Shitong Luo
Wei Hu
3DPC
83
134
0
27 Jul 2020
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning
  on Graphs
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Fanfei Chen
John D. Martin
Yewei Huang
Jinkun Wang
Brendan Englot
73
61
0
24 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph
  Representation and Learning
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning
Xuebin Zheng
Bingxin Zhou
Ming Li
Yu Guang Wang
Junbin Gao
74
2
0
22 Jul 2020
Second-Order Pooling for Graph Neural Networks
Second-Order Pooling for Graph Neural Networks
Zhengyang Wang
Shuiwang Ji
GNN
76
82
0
20 Jul 2020
Towards Deeper Graph Neural Networks
Towards Deeper Graph Neural Networks
Meng Liu
Hongyang Gao
Shuiwang Ji
GNNAI4CE
136
612
0
18 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement
  Learning
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
Shauharda Khadka
Estelle Aflalo
Mattias Marder
Avrech Ben-David
Santiago Miret
Shie Mannor
Tamir Hazan
Hanlin Tang
Somdeb Majumdar
GNN
74
11
0
14 Jul 2020
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein
  Structures
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
Pedro Hermosilla
M. Schäfer
Matěj Lang
Gloria Fackelmann
Pere-Pau Vázquez
Barbora Kozlíková
M. Krone
Tobias Ritschel
Timo Ropinski
48
2
0
13 Jul 2020
Multilevel Graph Matching Networks for Deep Graph Similarity Learning
Multilevel Graph Matching Networks for Deep Graph Similarity Learning
Xiang Ling
Lingfei Wu
Sai-gang Wang
Tengfei Ma
Fangli Xu
A. Liu
Chunming Wu
S. Ji
97
67
0
08 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang
Meiqi Zhu
Deyu Bo
Peng Cui
C. Shi
J. Pei
BDL
153
497
0
05 Jul 2020
Simple and Deep Graph Convolutional Networks
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
192
1,511
0
04 Jul 2020
Graph Clustering with Graph Neural Networks
Graph Clustering with Graph Neural Networks
Anton Tsitsulin
John Palowitch
Bryan Perozzi
Emmanuel Müller
GNNAI4CE
130
271
0
30 Jun 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks
Path Integral Based Convolution and Pooling for Graph Neural Networks
Zheng Ma
Junyu Xuan
Yu Guang Wang
Ming Li
Pietro Lio
GNN
89
56
0
29 Jun 2020
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas
  in Graph Classification
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification
Kai Zhang
Yaokang Zhu
Jun Wang
Jie Zhang
H. Zha
21
0
0
29 Jun 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks
Policy-GNN: Aggregation Optimization for Graph Neural Networks
Kwei-Herng Lai
Daochen Zha
Kaixiong Zhou
Helen Zhou
138
93
0
26 Jun 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Matthias Fey
Jan-Gin Yuen
F. Weichert
GNN
106
86
0
22 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral
Graph Neural Networks in TensorFlow and Keras with Spektral
Daniele Grattarola
Cesare Alippi
GNN
179
156
0
22 Jun 2020
Graph Pooling with Node Proximity for Hierarchical Representation
  Learning
Graph Pooling with Node Proximity for Hierarchical Representation Learning
Xing Gao
Wenrui Dai
Chenglin Li
H. Xiong
P. Frossard
23
3
0
19 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification
Class-Attentive Diffusion Network for Semi-Supervised Classification
Jongin Lim
Daeho Um
H. Chang
D. Jo
J. Choi
236
15
0
18 Jun 2020
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
T. Fujihashi
T. Koike-Akino
Siheng Chen
Takashi Watanabe
3DPC
39
14
0
17 Jun 2020
Multipole Graph Neural Operator for Parametric Partial Differential
  Equations
Multipole Graph Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
234
396
0
16 Jun 2020
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction
Yunsheng Bai
Ken Gu
Yizhou Sun
Wei Wang
GNN
47
18
0
11 Jun 2020
Interferometric Graph Transform: a Deep Unsupervised Graph
  Representation
Interferometric Graph Transform: a Deep Unsupervised Graph Representation
Edouard Oyallon
110
6
0
10 Jun 2020
Optimal Transport Graph Neural Networks
Optimal Transport Graph Neural Networks
Benson Chen
Gary Bécigneul
O. Ganea
Regina Barzilay
Tommi Jaakkola
OT
94
44
0
08 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and
  Algebraic Multigrid Pooling
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
Moshe Eliasof
Eran Treister
65
25
0
07 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks
  Applications
The Impact of Global Structural Information in Graph Neural Networks Applications
Davide Buffelli
Fabio Vandin
AI4CE
68
9
0
06 Jun 2020
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient
  Language Processing
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
Zihang Dai
Guokun Lai
Yiming Yang
Quoc V. Le
121
236
0
05 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Haonan Yuan
Jiliang Tang
Helen Zhou
Shuiwang Ji
108
402
0
03 Jun 2020
SimPool: Towards Topology Based Graph Pooling with Structural Similarity
  Features
SimPool: Towards Topology Based Graph Pooling with Structural Similarity Features
Yaniv Shulman
44
0
0
03 Jun 2020
Non-Local Graph Neural Networks
Non-Local Graph Neural Networks
Meng Liu
Zhengyang Wang
Shuiwang Ji
135
167
0
29 May 2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Haoteng Tang
Guixiang Ma
Yurong Chen
Lei Guo
Wei Wang
Bo Zeng
Liang Zhan
AAML
93
28
0
23 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Wenzheng Feng
Jie Zhang
Yuxiao Dong
Yu Han
Huanbo Luan
Qian Xu
Qiang Yang
Evgeny Kharlamov
Jie Tang
155
398
0
22 May 2020
Customized Graph Neural Networks
Customized Graph Neural Networks
Yiqi Wang
Yao Ma
Wei Jin
Chaozhuo Li
Charu C. Aggarwal
Jiliang Tang
94
3
0
22 May 2020
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity
  Interactions
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
Hanchen Wang
Defu Lian
Ying Zhang
Lu Qin
Xuemin Lin
GNN
68
85
0
12 May 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
98
291
0
07 May 2020
Self-Learning with Rectification Strategy for Human Parsing
Self-Learning with Rectification Strategy for Human Parsing
Tao Li
Zhiyuan Liang
Sanyuan Zhao
Jiahao Gong
Jianbing Shen
74
35
0
17 Apr 2020
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph
  Neural Networks
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks
Yu Chen
Lingfei Wu
Mohammed J Zaki
71
52
0
13 Apr 2020
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
Bardia Doosti
Shujon Naha
Majid Mirbagheri
David J. Crandall
3DH
89
190
0
31 Mar 2020
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action
  Recognition
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Ziyu Liu
Hongwen Zhang
Zhenghao Chen
Zhiyong Wang
Wanli Ouyang
150
838
0
31 Mar 2020
GeoGraph: Learning graph-based multi-view object detection with
  geometric cues end-to-end
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
A. Nassar
Stefano Dáronco
Sébastien Lefèvre
Jan Dirk Wegner
ObjD
51
3
0
23 Mar 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma
Jiajun Bu
Jieyu Yang
Zhen Zhang
Chengwei Yao
Zhi Yu
Sheng Zhou
Xifeng Yan
72
5
0
18 Mar 2020
Permutohedral-GCN: Graph Convolutional Networks with Global Attention
Permutohedral-GCN: Graph Convolutional Networks with Global Attention
Hesham Mostafa
Marcel Nassar
69
7
0
02 Mar 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
161
91
0
21 Feb 2020
Deep Graph Mapper: Seeing Graphs through the Neural Lens
Deep Graph Mapper: Seeing Graphs through the Neural Lens
Cristian Bodnar
Cătălina Cangea
Pietro Lio
190
43
0
10 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin
Regina Barzilay
Tommi Jaakkola
121
289
0
08 Feb 2020
Random Features Strengthen Graph Neural Networks
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNNAAML
83
240
0
08 Feb 2020
Structure-Feature based Graph Self-adaptive Pooling
Structure-Feature based Graph Self-adaptive Pooling
Liang Zhang
Xudong Wang
Hongsheng Li
Guangming Zhu
Peiyi Shen
P. Li
Xiaoyuan Lu
Syed Afaq Ali Shah
Bennamoun
63
64
0
30 Jan 2020
A Block-based Generative Model for Attributed Networks Embedding
A Block-based Generative Model for Attributed Networks Embedding
Xueyan Liu
Bo Yang
Wenzhuo Song
Katarzyna Musial
Wanli Zuo
Hongxu Chen
Hongzhi Yin
BDL
37
0
0
06 Jan 2020
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
Alessio Micheli
Marco Podda
AI4CEGNN
135
281
0
29 Dec 2019
Deep Graph Similarity Learning: A Survey
Deep Graph Similarity Learning: A Survey
Guixiang Ma
Nesreen Ahmed
Theodore L. Willke
Philip S. Yu
GNN
74
77
0
25 Dec 2019
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