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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
Mimetic Neural Networks: A unified framework for Protein Design and
  Folding
Mimetic Neural Networks: A unified framework for Protein Design and Folding
Moshe Eliasof
Tue Boesen
E. Haber
C. Keasar
Eran Treister
AI4CE
71
12
0
07 Feb 2021
Graph Coarsening with Neural Networks
Graph Coarsening with Neural Networks
Chen Cai
Dingkang Wang
Yusu Wang
DD
182
68
0
02 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
267
200
0
01 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models
GraphEBM: Molecular Graph Generation with Energy-Based Models
Meng Liu
Keqiang Yan
Bora Oztekin
Shuiwang Ji
98
88
0
31 Jan 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and
  Self-Supervised Mutual Information Mechanism
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Qingyun Sun
Jianxin Li
Hao Peng
Hongzhi Zhang
Yuanxing Ning
Phillip S. Yu
Lifang He
71
168
0
20 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion
  Forecasting
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
Wenyuan Zeng
Ming Liang
Renjie Liao
R. Urtasun
GNN
107
183
0
17 Jan 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
Hao Yuan
Shuiwang Ji
GNN
132
7
0
06 Jan 2021
Discourse-level Relation Extraction via Graph Pooling
Discourse-level Relation Extraction via Graph Pooling
I-Hung Hsu
Xiaoyu Guo
Premkumar Natarajan
Nanyun Peng
GNNAI4CE
89
11
0
01 Jan 2021
LookHops: light multi-order convolution and pooling for graph
  classification
LookHops: light multi-order convolution and pooling for graph classification
Zhangyang Gao
Haitao Lin
Stan. Z Li
60
6
0
28 Dec 2020
Graph Autoencoders with Deconvolutional Networks
Graph Autoencoders with Deconvolutional Networks
Jia Li
Tomas Yu
Da-Cheng Juan
Arjun Gopalan
Hong Cheng
Andrew Tomkins
GNN
57
8
0
22 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
172
127
0
16 Dec 2020
Hierarchical Graph Capsule Network
Hierarchical Graph Capsule Network
Jinyu Yang
P. Zhao
Yu Rong
Chao-chao Yan
Chunyuan Li
Hehuan Ma
Junzhou Huang
69
31
0
16 Dec 2020
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Xuebin Zheng
Bingxin Zhou
Yu Guang Wang
Xiaosheng Zhuang
113
36
0
12 Dec 2020
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
Fuzhao Xue
Aixin Sun
Hao Zhang
Eng Siong Chng
71
86
0
12 Dec 2020
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical
  Graph Representation Learning
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning
Haoteng Tang
Guixiang Ma
Lifang He
Heng-Chiao Huang
Liang Zhan
GNN
97
25
0
10 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development
Utilising Graph Machine Learning within Drug Discovery and Development
Thomas Gaudelet
Ben Day
Arian R. Jamasb
Jyothish Soman
Cristian Regep
...
Jian Tang
D. Roblin
Tom L. Blundell
M. Bronstein
J. Taylor-King
AI4CE
97
38
0
09 Dec 2020
MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand
  Pose Estimation
MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation
Liangjian Chen
Shih-Yao Lin
Yusheng Xie
Yen-Yu Lin
Xiaohui Xie
3DH
90
26
0
06 Dec 2020
Graph Convolutional Neural Networks for Body Force Prediction
Graph Convolutional Neural Networks for Body Force Prediction
Francis Ogoke
Kazem Meidani
Amirreza Hashemi
A. Farimani
GNNAI4CE
46
62
0
03 Dec 2020
Interpretable Graph Capsule Networks for Object Recognition
Interpretable Graph Capsule Networks for Object Recognition
Jindong Gu
Volker Tresp
FAtt
76
36
0
03 Dec 2020
CPF: Learning a Contact Potential Field to Model the Hand-Object
  Interaction
CPF: Learning a Contact Potential Field to Model the Hand-Object Interaction
Lixin Yang
Xinyu Zhan
Kailin Li
Wenqiang Xu
Jiefeng Li
Cewu Lu
88
128
0
02 Dec 2020
Can neural networks learn persistent homology features?
Can neural networks learn persistent homology features?
Guido Montúfar
N. Otter
Yuguang Wang
61
12
0
30 Nov 2020
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
Chenchen Xu
Qiao Liu
Minlie Huang
Tao Jiang
GNNOffRL
56
20
0
14 Nov 2020
Two-stage Training of Graph Neural Networks for Graph Classification
Two-stage Training of Graph Neural Networks for Graph Classification
Manh Tuan Do
Noseong Park
Kijung Shin
GNN
62
10
0
10 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning
  Models for Article Vectorisation
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
Diego Kozlowski
Jennifer Dusdal
Jun Pang
A. Zilian
22
17
0
05 Nov 2020
Sampling and Recovery of Graph Signals based on Graph Neural Networks
Sampling and Recovery of Graph Signals based on Graph Neural Networks
Siheng Chen
Maosen Li
Ya Zhang
144
4
0
03 Nov 2020
Reliable Graph Neural Networks via Robust Aggregation
Reliable Graph Neural Networks via Robust Aggregation
Simon Geisler
Daniel Zügner
Stephan Günnemann
AAMLOOD
60
72
0
29 Oct 2020
Learning to Infer Unseen Attribute-Object Compositions
Learning to Infer Unseen Attribute-Object Compositions
Hui Chen
Zhixiong Nan
Jingjing Jiang
N. Zheng
OCLCoGe
31
8
0
27 Oct 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative
  Homogeneous Graph Neural Networks
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Hao Tang
Zhiao Huang
Jiayuan Gu
Bao-Liang Lu
Hao Su
AI4CE
70
9
0
26 Oct 2020
Primal-Dual Mesh Convolutional Neural Networks
Primal-Dual Mesh Convolutional Neural Networks
Francesco Milano
Antonio Loquercio
Antoni Rosinol
Davide Scaramuzza
Luca Carlone
3DPCAI4CE
105
93
0
23 Oct 2020
Rethinking pooling in graph neural networks
Rethinking pooling in graph neural networks
Diego Mesquita
Amauri Souza
Samuel Kaski
GNNAI4CE
293
119
0
22 Oct 2020
Line Graph Neural Networks for Link Prediction
Line Graph Neural Networks for Link Prediction
Lei Cai
Jundong Li
Jie Wang
Shuiwang Ji
GNN
212
204
0
20 Oct 2020
Topology-Aware Graph Pooling Networks
Topology-Aware Graph Pooling Networks
Hongyang Gao
Yi Liu
Shuiwang Ji
55
91
0
19 Oct 2020
Multivariate Time Series Classification with Hierarchical Variational
  Graph Pooling
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
Ziheng Duan
Haoyan Xu
Yueyang Wang
Yida Huang
Anni Ren
Qianru Zhang
Yizhou Sun
Wei Wang
AI4TS
73
58
0
12 Oct 2020
Graph Information Bottleneck for Subgraph Recognition
Graph Information Bottleneck for Subgraph Recognition
Junchi Yu
Tingyang Xu
Yu Rong
Yatao Bian
Junzhou Huang
Ran He
60
157
0
12 Oct 2020
Data-Driven Learning of Geometric Scattering Networks
Data-Driven Learning of Geometric Scattering Networks
Alexander Tong
Frederik Wenkel
Kincaid MacDonald
Smita Krishnaswamy
Guy Wolf
GNN
59
5
0
06 Oct 2020
Graph Cross Networks with Vertex Infomax Pooling
Graph Cross Networks with Vertex Infomax Pooling
Maosen Li
Siheng Chen
Ya Zhang
Ivor W. Tsang
121
60
0
05 Oct 2020
Multi-grained Semantics-aware Graph Neural Networks
Multi-grained Semantics-aware Graph Neural Networks
Zhiqiang Zhong
Chengzong Li
Jun Pang
AI4CE
64
9
0
01 Oct 2020
Multi-hop Attention Graph Neural Network
Multi-hop Attention Graph Neural Network
Guangtao Wang
Rex Ying
Jing Huang
J. Leskovec
82
135
0
29 Sep 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
Asoke K. Nandi
SSegOOD
115
579
0
28 Sep 2020
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution
  from Low-Resolution Functional Brain Connectomes
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes
Megi Isallari
I. Rekik
61
10
0
23 Sep 2020
Contrastive Self-supervised Learning for Graph Classification
Contrastive Self-supervised Learning for Graph Classification
Jiaqi Zeng
P. Xie
SSL
115
156
0
13 Sep 2020
Certified Robustness of Graph Classification against Topology Attack
  with Randomized Smoothing
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing
Zhidong Gao
Rui Hu
Yanmin Gong
AAMLOOD
60
16
0
12 Sep 2020
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
94
50
0
08 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks
Rethinking Graph Regularization for Graph Neural Networks
Han Yang
Kaili Ma
James Cheng
AI4CE
82
74
0
04 Sep 2020
Beyond Observed Connections : Link Injection
Beyond Observed Connections : Link Injection
Jie Bu
M. Maruf
Arka Daw
GNN
21
0
0
02 Sep 2020
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle
  Decisions
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
S. Yu
Arnav V. Malawade
Deepan Muthirayan
Pramod P. Khargonekar
Mohammad Abdullah Al Faruque
80
88
0
31 Aug 2020
Deep Hypergraph U-Net for Brain Graph Embedding and Classification
Deep Hypergraph U-Net for Brain Graph Embedding and Classification
Mert Lostar
I. Rekik
GNN
35
10
0
30 Aug 2020
Graph Convolutional Neural Networks with Node Transition
  Probability-based Message Passing and DropNode Regularization
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization
T. Do
Duc Minh Nguyen
Giannis Bekoulis
Adrian Munteanu
Nikos Deligiannis
57
38
0
28 Aug 2020
Deep Neural Network for 3D Surface Segmentation based on Contour Tree
  Hierarchy
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy
Wenchong He
Arpan Man Sainju
Zhe Jiang
Da Yan
111
9
0
25 Aug 2020
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image
  Retrieval
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval
Aneeshan Sain
A. Bhunia
Yongxin Yang
Tao Xiang
Yi-Zhe Song
77
50
0
29 Jul 2020
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