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Learning Convolutional Neural Networks for Graphs

Learning Convolutional Neural Networks for Graphs

17 May 2016
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
    GNN
    SSL
ArXivPDFHTML

Papers citing "Learning Convolutional Neural Networks for Graphs"

50 / 371 papers shown
Title
Meta knowledge assisted Evolutionary Neural Architecture Search
Meta knowledge assisted Evolutionary Neural Architecture Search
Yangyang Li
Guanlong Liu
Ronghua Shang
L. Jiao
56
0
0
30 Apr 2025
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
Abubakar Isah
I. Aliyu
Sulaiman Muhammad Rashid
Jaehyung Park
Minsoo Hahn
Jinsul Kim
34
0
0
17 Feb 2025
PyG-SSL: A Graph Self-Supervised Learning Toolkit
PyG-SSL: A Graph Self-Supervised Learning Toolkit
Lecheng Zheng
Baoyu Jing
Zihao Li
Zhichen Zeng
Tianxin Wei
...
Lihui Liu
Dongqi Fu
Jiaxuan You
Hanghang Tong
Jingrui He
62
6
0
31 Dec 2024
EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
Huayu Deng
Xiangming Zhu
Yunbo Wang
Xiaokang Yang
PINN
AI4CE
34
0
0
03 Oct 2024
Scalable Graph Compressed Convolutions
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
58
0
0
26 Jul 2024
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports
  Action Recognition
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition
Zhendong Liu
Haifeng Xia
Tong Guo
Libo Sun
Ming Shao
Siyu Xia
38
2
0
30 Apr 2024
Graph Convolutional Network with Connectivity Uncertainty for EEG-based
  Emotion Recognition
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition
Hongxiang Gao
Xiangyao Wang
Zhenghua Chen
Min-man Wu
Zhipeng Cai
Lulu Zhao
Jianqing Li
Chengyu Liu
43
10
0
22 Oct 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
Zehao Dong
Weidong Cao
Muhan Zhang
Dacheng Tao
Yixin Chen
Xuan Zhang
GNN
39
31
0
31 Aug 2023
Low-bit Quantization for Deep Graph Neural Networks with
  Smoothness-aware Message Propagation
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation
Shuang Wang
B. Eravcı
Rustam Guliyev
Hakan Ferhatosmanoglu
GNN
MQ
39
6
0
29 Aug 2023
Modeling Edge Features with Deep Bayesian Graph Networks
Modeling Edge Features with Deep Bayesian Graph Networks
Daniele Atzeni
Federico Errica
D. Bacciu
Alessio Micheli
21
6
0
17 Aug 2023
Deep Learning-based surrogate models for parametrized PDEs: handling
  geometric variability through graph neural networks
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks
N. R. Franco
S. Fresca
Filippo Tombari
Andrea Manzoni
AI4CE
34
16
0
03 Aug 2023
PVG: Progressive Vision Graph for Vision Recognition
PVG: Progressive Vision Graph for Vision Recognition
Jiafu Wu
Jian Li
Jiangning Zhang
Boshen Zhang
M. Chi
Yabiao Wang
Chengjie Wang
ViT
46
13
0
01 Aug 2023
A Survey on Graph Classification and Link Prediction based on GNN
A Survey on Graph Classification and Link Prediction based on GNN
Xingyu Liu
Juan Chen
Q. Wen
GNN
31
11
0
03 Jul 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced
  Sum-Product Networks
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Federico Errica
Mathias Niepert
TPM
32
4
0
17 May 2023
SPP-CNN: An Efficient Framework for Network Robustness Prediction
SPP-CNN: An Efficient Framework for Network Robustness Prediction
Chengpei Wu
Yang Lou
Lin Wang
Junli Li
Xiang Li
Guanrong Chen
AAML
28
9
0
13 May 2023
Enhancing Road Safety through Accurate Detection of Hazardous Driving
  Behaviors with Graph Convolutional Recurrent Networks
Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent Networks
Pooyan Khosravinia
Thinagaran Perumal
Javad Zarrin
32
7
0
08 May 2023
Skeleton-based Action Recognition through Contrasting Two-Stream
  Spatial-Temporal Networks
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks
Chen Pang
Xuequan Lu
Lei Lyu
38
20
0
27 Jan 2023
Graph Scattering beyond Wavelet Shackles
Graph Scattering beyond Wavelet Shackles
Christian Koke
Gitta Kutyniok
32
4
0
26 Jan 2023
Visiting Distant Neighbors in Graph Convolutional Networks
Visiting Distant Neighbors in Graph Convolutional Networks
Ali Hashemi
H. Makse
GNN
27
1
0
26 Jan 2023
Generative Graph Neural Networks for Link Prediction
Generative Graph Neural Networks for Link Prediction
Xingping Xian
Tao Wu
Xiaoke Ma
Shaojie Qiao
Yabin Shao
Chao Wang
Lin Yuan
Yuehua Wu
AI4CE
43
4
0
31 Dec 2022
Graph Learning for Anomaly Analytics: Algorithms, Applications, and
  Challenges
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Jing Ren
Feng Xia
Azadeh Noori Hoshyar
Charu C. Aggarwal
42
26
0
11 Dec 2022
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification
Lu Bai
Lixin Cui
Edwin R. Hancock
45
0
0
10 Dec 2022
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph
  Learning with Attentive Temporal Aggregation
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation
A. Einizade
S. Nasiri
S. H. Sardouie
G. Clifford
21
14
0
09 Dec 2022
Spatial Graph Convolution Neural Networks for Water Distribution Systems
Spatial Graph Convolution Neural Networks for Water Distribution Systems
Inaam Ashraf
L. Hermes
André Artelt
Barbara Hammer
GNN
24
7
0
17 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph
  classification
Application of Graph Neural Networks and graph descriptors for graph classification
J. Adamczyk
FaML
44
5
0
07 Nov 2022
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph
  Classification
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification
Lu Bai
Lixin Cui
Yue Wang
Ming Li
Edwin R. Hancock
21
43
0
05 Nov 2022
Graph Anomaly Detection with Unsupervised GNNs
Graph Anomaly Detection with Unsupervised GNNs
Lingxiao Zhao
Saurabh Sawlani
Arvind Srinivasan
Leman Akoglu
39
17
0
18 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information
Uplifting Message Passing Neural Network with Graph Original Information
Xiao Liu
Lijun Zhang
Hui Guan
GNN
26
2
0
08 Oct 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of
  Graph Neural Networks for Attributed and Dynamic Graphs
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
Silvia Beddar-Wiesing
Giuseppe Alessio D’Inverno
C. Graziani
Veronica Lachi
Alice Moallemy-Oureh
F. Scarselli
J. M. Thomas
36
9
0
08 Oct 2022
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient
  Link Prediction
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
Zixiao Wang
Yuluo Guo
Jin Zhao
Yu Zhang
Hui Yu
Xiaofei Liao
Biao Wang
Ting Yu
DiffM
GNN
34
6
0
04 Oct 2022
Metric Distribution to Vector: Constructing Data Representation via
  Broad-Scale Discrepancies
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies
Xue Liu
Dan Sun
X. Cao
Hao Ye
Wei Wei
20
0
0
02 Oct 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViT
MedIm
AI4CE
32
74
0
27 Sep 2022
Interpreting the Mechanism of Synergism for Drug Combinations Using
  Attention-Based Hierarchical Graph Pooling
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling
Zehao Dong
Heming Zhang
Yixin Chen
Philip R. O. Payne
Fuhai Li
GNN
51
16
0
19 Sep 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate
  Graph Neural Networks
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks
Yuchen Gui
Boyi Wei
W. Yuan
Xi Jin
GNN
24
1
0
07 Sep 2022
Hierarchically Decomposed Graph Convolutional Networks for
  Skeleton-Based Action Recognition
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
Junghoon Lee
Minhyeok Lee
Dogyoon Lee
Sangyoon Lee
BDL
31
130
0
23 Aug 2022
Graph neural networks for materials science and chemistry
Graph neural networks for materials science and chemistry
Patrick Reiser
Marlen Neubert
André Eberhard
Luca Torresi
Chen Zhou
...
Houssam Metni
Clint van Hoesel
Henrik Schopmans
T. Sommer
Pascal Friederich
GNN
AI4CE
55
372
0
05 Aug 2022
Modeling the Social Influence of COVID-19 via Personalized Propagation
  with Deep Learning
Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning
Yufei Liu
Jie Cao
D. Pi
GNN
23
3
0
26 Jul 2022
Graph Neural Network and Spatiotemporal Transformer Attention for 3D
  Video Object Detection from Point Clouds
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Junbo Yin
Jianbing Shen
Xin Gao
David J. Crandall
Ruigang Yang
3DPC
ViT
43
59
0
26 Jul 2022
Multi-Scale Spatial Temporal Graph Convolutional Network for
  Skeleton-Based Action Recognition
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
Zhan Chen
Sicheng Li
Bing Yang
Qinghan Li
Hong Liu
37
255
0
27 Jun 2022
Deep Reinforcement Learning for Turbulence Modeling in Large Eddy
  Simulations
Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations
Marius Kurz
Philipp Offenhäuser
Andrea Beck
AI4CE
23
58
0
21 Jun 2022
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
Mingqi Yang
Yanming Shen
Heng Qi
Baocai Yin
33
17
0
11 Jun 2022
Semi-Supervised Hierarchical Graph Classification
Semi-Supervised Hierarchical Graph Classification
Jia Li
Yongfeng Huang
Heng Chang
Yu Rong
31
28
0
11 Jun 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph
  Neural Networks
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks
Tianxiang Zhao
Xiang Zhang
Suhang Wang
33
6
0
10 Jun 2022
Vision GNN: An Image is Worth Graph of Nodes
Vision GNN: An Image is Worth Graph of Nodes
Kai Han
Yunhe Wang
Jianyuan Guo
Yehui Tang
Enhua Wu
GNN
3DH
35
357
0
01 Jun 2022
Skeleton-based Action Recognition via Temporal-Channel Aggregation
Skeleton-based Action Recognition via Temporal-Channel Aggregation
Shengqin Wang
Yongji Zhang
M. Zhao
Hong Qi
Kai Wang
Fenglin Wei
Yu-Gang Jiang
41
23
0
31 May 2022
Graph-level Neural Networks: Current Progress and Future Directions
Graph-level Neural Networks: Current Progress and Future Directions
Ge Zhang
Jia Wu
Jian Yang
Shan Xue
Wenbin Hu
Chuan Zhou
Hao Peng
Quan.Z Sheng
Charu C. Aggarwal
GNN
AI4CE
54
0
0
31 May 2022
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural
  Networks
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks
Lu Bai
Weixing Ji
Qinyuan Li
Xi Yao
Wei Xin
Wanyi Zhu
15
6
0
24 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta
Torsten Hoefler
GNN
39
54
0
19 May 2022
Scalable algorithms for physics-informed neural and graph networks
Scalable algorithms for physics-informed neural and graph networks
K. Shukla
Mengjia Xu
N. Trask
George Karniadakis
PINN
AI4CE
75
40
0
16 May 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular
  Linker Design
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
Yinan Huang
Xing Peng
Jianzhu Ma
Muhan Zhang
BDL
35
48
0
15 May 2022
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