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Topology Adaptive Graph Convolutional Networks

Topology Adaptive Graph Convolutional Networks

28 October 2017
Jian Du
Shanghang Zhang
Guanhang Wu
José M. F. Moura
S. Kar
    GNN
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Papers citing "Topology Adaptive Graph Convolutional Networks"

37 / 37 papers shown
Title
MANTRA: The Manifold Triangulations Assemblage
MANTRA: The Manifold Triangulations Assemblage
Rubén Ballester
Ernst Röell
Daniel Bin Schmid
Mathieu Alain
Sergio Escalera
Carles Casacuberta
Bastian Rieck
44
2
0
03 Oct 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang
Yadi Cao
Chris Russell
Yanxin Shen
Junyu Luo
Ming Zhang
Siyu Heng
Xiao Luo
38
1
0
13 Sep 2024
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Kai Zhao
Qiyu Kang
Yang Song
Rui She
Sijie Wang
Wee Peng Tay
AAML
38
22
0
10 Oct 2023
Detecting Inactive Cyberwarriors from Online Forums
Detecting Inactive Cyberwarriors from Online Forums
Ruei-Yuan Wang
Hung-Hsuan Chen
17
3
0
28 Aug 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Teacher-Student Architecture for Knowledge Distillation: A Survey
Chengming Hu
Xuan Li
Danyang Liu
Haolun Wu
Xi Chen
Ju Wang
Xue Liu
21
16
0
08 Aug 2023
A Graphical Approach to Document Layout Analysis
A Graphical Approach to Document Layout Analysis
Jilin Wang
Michael Krumdick
Baojia Tong
Hamima Halim
M. Sokolov
Vadym Barda
Delphine Vendryes
Christy Tanner
21
8
0
03 Aug 2023
Segmentation and Vascular Vectorization for Coronary Artery by
  Geometry-based Cascaded Neural Network
Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network
Xiaoyu Yang
Lijian Xu
Simon Yu
Qing Xia
Hongsheng Li
Shaoting Zhang
22
4
0
07 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks
  via Reinforcement Learning
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Dayuan Chen
Jian Andrew Zhang
Yuqian Lv
Jinhuan Wang
Hongjie Ni
Shanqing Yu
Zhen Wang
Qi Xuan
AAML
21
3
0
04 May 2023
S3M: Scalable Statistical Shape Modeling through Unsupervised
  Correspondences
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences
Lennart Bastian
Alexander Bauman
Emily Hoppe
Vincent Burgin
Ha Young Kim
Mahdi Saleh
Benjamin Busam
Nassir Navab
22
8
0
15 Apr 2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network
HD-GCN:A Hybrid Diffusion Graph Convolutional Network
Zhi Yang
Kang Li
Haitao Gan
Zhongwei Huang
Ming Shi
GNN
26
2
0
31 Mar 2023
A Survey on Malware Detection with Graph Representation Learning
A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot
Nour El Madhoun
Khaldoun Al Agha
Anis Zouaoui
AAML
13
20
0
28 Mar 2023
Interaction Order Prediction for Temporal Graphs
Interaction Order Prediction for Temporal Graphs
N. Bannur
Mashrin Srivastava
Harsha Vardhan
26
0
0
04 Feb 2023
Semantics-Preserving Sketch Embedding for Face Generation
Semantics-Preserving Sketch Embedding for Face Generation
Binxin Yang
X. Chen
Chaoqun Wang
Chi Zhang
Zihan Chen
Xiaoyan Sun
CVBM
3DV
30
3
0
23 Nov 2022
Boost Event-Driven Tactile Learning with Location Spiking Neurons
Boost Event-Driven Tactile Learning with Location Spiking Neurons
Pengxin Kang
Srutarshi Banerjee
Henry H. Chopp
Aggelos K. Katsaggelos
O. Cossairt
13
9
0
09 Oct 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label
  Transition and Topology-based Label Propagation
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Jun Zhuang
M. Hasan
23
20
0
21 Aug 2022
Tuning the Geometry of Graph Neural Networks
Tuning the Geometry of Graph Neural Networks
Sowon Jeong
Claire Donnat
AI4CE
42
1
0
12 Jul 2022
A Safe Semi-supervised Graph Convolution Network
A Safe Semi-supervised Graph Convolution Network
Zhi Yang
Yadong Yan
Haitao Gan
Jing Zhao
Zhiwei Ye
GNN
19
3
0
05 Jul 2022
Towards better Interpretable and Generalizable AD detection using
  Collective Artificial Intelligence
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence
H. Nguyen
Michael Clement
Boris Mansencal
Pierrick Coupé
MedIm
33
6
0
07 Jun 2022
Bridging the Gap of AutoGraph between Academia and Industry: Analysing
  AutoGraph Challenge at KDD Cup 2020
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020
Zhen Xu
Lanning Wei
Huan Zhao
Rex Ying
Quanming Yao
Wei-Wei Tu
Isabelle M Guyon
AI4CE
20
0
0
06 Apr 2022
Bending Graphs: Hierarchical Shape Matching using Gated Optimal
  Transport
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport
Mahdi Saleh
Shun-cheng Wu
Luca Cosmo
Nassir Navab
Benjamin Busam
F. Tombari
20
22
0
03 Feb 2022
Spatial Graph Convolutional Neural Network via Structured Subdomain
  Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis
Mohammadreza Ghorvei
Mohammadreza Kavianpour
Mohammad T. H. Beheshti
Amin Ramezani
AI4CE
16
71
0
11 Dec 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Jin Xu
Mingjian Chen
Jianqiang Huang
Xingyuan Tang
Ke Hu
Jian Li
Jia Cheng
Jun Lei
17
2
0
25 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of
  Graph Machine Learning
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Qinkai Zheng
Xu Zou
Yuxiao Dong
Yukuo Cen
Da Yin
Jiarong Xu
Yang Yang
Jie Tang
OOD
AAML
30
50
0
08 Nov 2021
CGNN: Traffic Classification with Graph Neural Network
CGNN: Traffic Classification with Graph Neural Network
Bo Pang
Yongquan Fu
Siyuan Ren
Ye Wang
Qing Liao
Yan Jia
GNN
13
25
0
19 Oct 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings
Shape-Biased Domain Generalization via Shock Graph Embeddings
M. Narayanan
Vickram Rajendran
Benjamin Kimia
11
14
0
13 Sep 2021
Predicting Basin Stability of Power Grids using Graph Neural Networks
Predicting Basin Stability of Power Grids using Graph Neural Networks
Christian Nauck
M. Lindner
Konstantin Schurholt
Haoming Zhang
P. Schultz
Jürgen Kurths
I. Isenhardt
Frank Hellmann
21
22
0
18 Aug 2021
Room Classification on Floor Plan Graphs using Graph Neural Networks
Room Classification on Floor Plan Graphs using Graph Neural Networks
Abhishek Paudel
Roshan Dhakal
Sakshat Bhattarai
GNN
AI4CE
22
4
0
12 Aug 2021
Curvature Graph Neural Network
Curvature Graph Neural Network
Haifeng Li
Jun Cao
Jiawei Zhu
Yu Liu
Qing Zhu
Guohua Wu
13
49
0
30 Jun 2021
TELESTO: A Graph Neural Network Model for Anomaly Classification in
  Cloud Services
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services
Dominik Scheinert
Alexander Acker
22
11
0
25 Feb 2021
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
25
115
0
16 Dec 2020
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
Mahdi Saleh
Shervin Dehghani
Benjamin Busam
Nassir Navab
Federico Tombari
3DPC
21
14
0
18 Oct 2020
End-to-End Differentiable Molecular Mechanics Force Field Construction
End-to-End Differentiable Molecular Mechanics Force Field Construction
Yuanqing Wang
Josh Fass
Benjamin Kaminow
John E. Herr
Dominic Rufa
Ivy Zhang
Iván Pulido
Mike Henry
J. Chodera
17
23
0
02 Oct 2020
Graph Neural Networks: Architectures, Stability and Transferability
Graph Neural Networks: Architectures, Stability and Transferability
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
44
121
0
04 Aug 2020
Optimization and Generalization Analysis of Transduction through
  Gradient Boosting and Application to Multi-scale Graph Neural Networks
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono
Taiji Suzuki
AI4CE
34
31
0
15 Jun 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Mingli Song
Dacheng Tao
Xinchao Wang
151
226
0
23 Mar 2020
Graph Inference Learning for Semi-supervised Classification
Graph Inference Learning for Semi-supervised Classification
Chunyan Xu
Zhen Cui
Xiaobin Hong
Tong Zhang
Jian Yang
Wei Liu
22
29
0
17 Jan 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
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