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Adaptive Graph Convolutional Neural Networks

Adaptive Graph Convolutional Neural Networks

10 January 2018
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
    GNN
ArXivPDFHTML

Papers citing "Adaptive Graph Convolutional Neural Networks"

23 / 23 papers shown
Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
265
0
0
29 Apr 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
Shu Wu
Zekun Li
Yunyue Su
Zeyu Cui
Xiaoyu Zhang
Liang Wang
205
23
0
24 Feb 2025
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision
Ali AlShami
Ryan Rabinowitz
Khang Nhut Lam
Yousra Shleibik
Melkamu Mersha
Terrance Boult
Jugal Kalita
MU
110
3
0
22 Jan 2025
RobGC: Towards Robust Graph Condensation
RobGC: Towards Robust Graph Condensation
Xinyi Gao
Hongzhi Yin
Tong Chen
Guanhua Ye
Wentao Zhang
Tengjiao Wang
AAML
100
3
0
19 Jun 2024
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision
Yufeng Yang
Adrian Kneip
Charlotte Frenkel
GNN
86
4
0
30 Apr 2024
DeeperGCN: All You Need to Train Deeper GCNs
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li
Chenxin Xiong
Ali K. Thabet
Guohao Li
GNN
189
442
0
13 Jun 2020
Self-Supervised Graph Representation Learning via Global Context
  Prediction
Self-Supervised Graph Representation Learning via Global Context Prediction
Zhen Peng
Yixiang Dong
Minnan Luo
Xiao-Ming Wu
Q. Zheng
SSL
74
65
0
03 Mar 2020
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
204
1,231
0
10 Apr 2017
Atomic Convolutional Networks for Predicting Protein-Ligand Binding
  Affinity
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
Joseph Gomes
Bharath Ramsundar
Evan N. Feinberg
Vijay S. Pande
49
193
0
30 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
332
1,827
0
02 Mar 2017
Deep Learning with Dynamic Computation Graphs
Deep Learning with Dynamic Computation Graphs
Moshe Looks
Marcello Herreshoff
DeLesley S. Hutchins
Peter Norvig
GNN
AI4CE
79
134
0
07 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
481
14,309
0
02 Dec 2016
Low Data Drug Discovery with One-shot Learning
Low Data Drug Discovery with One-shot Learning
Han Altae-Tran
Bharath Ramsundar
Aneesh S. Pappu
Vijay S. Pande
92
686
0
10 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
617
29,051
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
342
7,650
0
30 Jun 2016
A Systematic Evaluation and Benchmark for Person Re-Identification:
  Features, Metrics, and Datasets
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Srikrishna Karanam
Mengran Gou
Ziyan Wu
Angels Rates-Borras
Mario Sznaier
Richard J. Radke
90
58
0
31 May 2016
Superpixel Convolutional Networks using Bilateral Inceptions
Superpixel Convolutional Networks using Bilateral Inceptions
Raghudeep Gadde
Varun Jampani
Martin Kiefel
Daniel Kappler
Peter V. Gehler
SSeg
SupR
74
129
0
20 Nov 2015
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction
  in Structure-based Drug Discovery
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
Izhar Wallach
Michael Dzamba
Abraham Heifets
82
542
0
10 Oct 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
221
3,350
0
30 Sep 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
155
1,587
0
16 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,289
0
11 Feb 2015
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
220
4,874
0
21 Dec 2013
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
126
3,972
0
31 Oct 2012
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