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1901.00596
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A Comprehensive Survey on Graph Neural Networks
3 January 2019
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
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Papers citing
"A Comprehensive Survey on Graph Neural Networks"
50 / 3,089 papers shown
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
International Conference on Knowledge Capture (K-CAP), 2019
Ling Cai
Bo Yan
Gengchen Mai
K. Janowicz
Rui Zhu
GNN
122
83
0
01 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
International Conference on Learning Representations (ICLR), 2019
Ninad Kulkarni
Bruno Ribeiro
256
27
0
01 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Yecheng Lyu
Xinming Huang
Ziming Zhang
117
0
0
26 Sep 2019
Universal Graph Transformer Self-Attention Networks
The Web Conference (WWW), 2019
Dai Quoc Nguyen
T. Nguyen
Dinh Q. Phung
ViT
995
84
0
26 Sep 2019
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks
SIAM Journal on Mathematics of Data Science (SIMODS), 2019
Adam Li
Ronan Perry
Chester Huynh
Tyler M. Tomita
Ronak R. Mehta
Jesús Arroyo
Jesse Patsolic
Benjamin Falk
Joshua T. Vogelstein
229
5
0
25 Sep 2019
Haar Graph Pooling
Yu Guang Wang
Ming Li
Zheng Ma
Guido Montúfar
Xiaosheng Zhuang
Yanan Fan
GNN
183
8
0
25 Sep 2019
Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints
Arbaaz Khan
Vijay Kumar
Alejandro Ribeiro
137
9
0
24 Sep 2019
Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks
Niko Sünderhauf
190
8
0
16 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
Jiaqi Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng Zhang
AI4CE
GNN
497
828
0
03 Sep 2019
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
IEEE transactions on computers (IEEE Trans. Comput.), 2019
Shengwen Liang
Ying Wang
Cheng Liu
Lei He
Huawei Li
Xiaowei Li
GNN
270
153
0
31 Aug 2019
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing
Tong Geng
Ang Li
Runbin Shi
Chunshu Wu
Tianqi Wang
...
Pouya Haghi
Antonino Tumeo
Shuai Che
Steve Reinhardt
Martin C. Herbordt
GNN
472
8
0
23 Aug 2019
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
Yuxing Xie
Jiaojiao Tian
Xiaoxiang Zhu
3DPC
219
207
0
23 Aug 2019
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Web Search and Data Mining (WSDM), 2019
Xianfeng Tang
Yandong Li
Yiwei Sun
Huaxiu Yao
P. Mitra
Suhang Wang
OOD
AAML
434
192
0
20 Aug 2019
Neural Dynamics on Complex Networks
Knowledge Discovery and Data Mining (KDD), 2019
Chengxi Zang
Haiwei Yang
AI4CE
210
85
0
18 Aug 2019
Progressive Relation Learning for Group Activity Recognition
Computer Vision and Pattern Recognition (CVPR), 2019
Guyue Hu
Bo Cui
Yuan He
Shan Yu
163
90
0
08 Aug 2019
Transferability of Spectral Graph Convolutional Neural Networks
Journal of machine learning research (JMLR), 2019
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
452
139
0
30 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
International Conference on Learning Representations (ICLR), 2019
Yu Rong
Wenbing Huang
Qifeng Bai
Junzhou Huang
677
1,528
0
25 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
ACM Conference on Recommender Systems (RecSys), 2019
KyungHyun Kim
Donghyun Kwak
Hanock Kwak
Young-Jin Park
Sangkwon Sim
Jae-Han Cho
Minkyu Kim
Jihun Kwon
Nako Sung
Jung-Woo Ha
212
19
0
24 Jul 2019
Bilinear Graph Networks for Visual Question Answering
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Dalu Guo
Chang Xu
Dacheng Tao
GNN
202
68
0
23 Jul 2019
Spectral-based Graph Convolutional Network for Directed Graphs
Yi Ma
Jianye Hao
Yaodong Yang
Han Li
Junqi Jin
Guangyong Chen
GNN
BDL
130
83
0
21 Jul 2019
A Graph Neural Network Approach for Scalable Wireless Power Control
Yifei Shen
Yuanming Shi
Jun Zhang
Khaled B. Letaief
GNN
155
87
0
19 Jul 2019
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
IEEE Transactions on Affective Computing (TAC), 2019
Peixiang Zhong
Haiyan Zhao
Chunyan Miao
367
681
0
18 Jul 2019
Embedding-based Silhouette Community Detection
Machine-mediated learning (ML), 2019
Blaž Škrlj
Jan Kralj
Nada Lavrac
171
25
0
17 Jul 2019
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification
WISE (WISE), 2019
Kaisheng Gao
Jing Zhang
Cangqi Zhou
81
8
0
12 Jul 2019
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Neural Information Processing Systems (NeurIPS), 2019
Nima Dehmamy
Albert-László Barabási
Rose Yu
GNN
226
152
0
11 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
International Conference on Learning Representations (ICLR), 2019
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
565
1,088
0
10 Jul 2019
Fast Haar Transforms for Graph Neural Networks
Neural Networks (NN), 2019
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
171
77
0
10 Jul 2019
Graph Policy Gradients for Large Scale Robot Control
Conference on Robot Learning (CoRL), 2019
Arbaaz Khan
Ekaterina V. Tolstaya
Alejandro Ribeiro
Vijay Kumar
318
100
0
08 Jul 2019
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Shuo-feng Zhang
Lei Xie
GNN
224
59
0
04 Jul 2019
Structure fusion based on graph convolutional networks for semi-supervised classification
Guangfeng Lin
Jing Wang
Kaiyang Liao
Fan Zhao
Wanjun Chen
119
6
0
02 Jul 2019
Spectral Clustering with Graph Neural Networks for Graph Pooling
F. Bianchi
Daniele Grattarola
Cesare Alippi
GNN
441
44
0
30 Jun 2019
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs
Chaoyang He
Jia Zhang
Yu Rong
Wenbing Huang
Junzhou Huang
Xiang Ren
Cyrus Shahabi
98
5
0
27 Jun 2019
Fast Training of Sparse Graph Neural Networks on Dense Hardware
Matej Balog
B. V. Merrienboer
Subhodeep Moitra
Yujia Li
Daniel Tarlow
GNN
148
11
0
27 Jun 2019
Signed Graph Attention Networks
International Conference on Artificial Neural Networks (ICANN), 2019
Junjie Huang
Huawei Shen
Liang Hou
Xueqi Cheng
GNN
240
153
0
26 Jun 2019
Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2019
Mario Krenn
A. Zeilinger
GNN
219
84
0
17 Jun 2019
Neural Theorem Provers Do Not Learn Rules Without Exploration
Michiel de Jong
Fei Sha
NAI
112
8
0
17 Jun 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Chun Wang
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
148
598
0
15 Jun 2019
Hierarchical Graph-to-Graph Translation for Molecules
Wengong Jin
Regina Barzilay
Tommi Jaakkola
167
16
0
11 Jun 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Senzhang Wang
Jiannong Cao
Philip S. Yu
AI4TS
294
717
0
11 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Neural Information Processing Systems (NeurIPS), 2019
Sitao Luan
Mingde Zhao
Xiao-Wen Chang
Doina Precup
GNN
279
169
0
05 Jun 2019
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
P. Elinas
Edwin V. Bonilla
Louis C. Tiao
BDL
GNN
401
10
0
05 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
AI4TS
469
2,762
0
31 May 2019
Quantifying the Alignment of Graph and Features in Deep Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Yifan Qian
P. Expert
Tom Rieu
P. Panzarasa
Mauricio Barahona
106
19
0
30 May 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs
Neural Information Processing Systems (NeurIPS), 2019
Zhengdao Chen
Soledad Villar
Lei Chen
Joan Bruna
278
304
0
29 May 2019
DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Transportation Research Part C: Emerging Technologies (TRC), 2019
Kyungeun Lee
Wonjong Rhee
AI4TS
GNN
339
128
0
29 May 2019
EEG-based Emotional Video Classification via Learning Connectivity Structure
Soobeom Jang
Seong-Eun Moon
Jong-Seok Lee
242
19
0
28 May 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling
Emmanuel Noutahi
Dominique Beaini
Julien Horwood
Sébastien Giguère
Prudencio Tossou
AI4CE
382
41
0
28 May 2019
Graph Filtration Learning
International Conference on Machine Learning (ICML), 2019
Christoph Hofer
Florian Graf
Bastian Rieck
Marc Niethammer
Roland Kwitt
312
119
0
27 May 2019
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
Kenta Oono
Taiji Suzuki
GNN
330
30
0
27 May 2019
Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks
Dominik Alfke
Martin Stoll
GNN
122
3
0
24 May 2019
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