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Semi-Supervised Classification with Graph Convolutional Networks
v1v2v3v4 (latest)

Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016
Thomas Kipf
Max Welling
    GNNSSL
ArXiv (abs)PDFHTML

Papers citing "Semi-Supervised Classification with Graph Convolutional Networks"

50 / 11,353 papers shown
Title
Spatio-Temporal-Frequency Graph Attention Convolutional Network for
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Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar NetworkIEEE Transactions on Aerospace and Electronic Systems (TAES), 2022
Hann Meng
Yuexing Peng
Wenbo Wang
Peng Cheng
Yonghui Li
Wei Xiang
137
18
0
15 Apr 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and
  Opportunities
Graph Pooling for Graph Neural Networks: Progress, Challenges, and OpportunitiesInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Chuang Liu
Yibing Zhan
Hongzhi Zhang
Chang Li
Bo Du
Wenbin Hu
Tongliang Liu
Dacheng Tao
GNNAI4CE
170
105
0
15 Apr 2022
Solving AC Power Flow with Graph Neural Networks under Realistic
  Constraints
Solving AC Power Flow with Graph Neural Networks under Realistic Constraints
Luis Bottcher
Hinrikus Wolf
Bastian Jung
Philipp Lutat
M. Trageser
Oliver Pohl
Andreas Ulbig
Martin Grohe
292
15
0
14 Apr 2022
Finding MNEMON: Reviving Memories of Node Embeddings
Finding MNEMON: Reviving Memories of Node EmbeddingsConference on Computer and Communications Security (CCS), 2022
Yun Shen
Yufei Han
Zhikun Zhang
Min Chen
Tingyue Yu
Michael Backes
Yang Zhang
Gianluca Stringhini
135
15
0
14 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific
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DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific VisualizationIEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Chaoli Wang
J. Han
221
51
0
13 Apr 2022
AHP: Learning to Negative Sample for Hyperedge Prediction
AHP: Learning to Negative Sample for Hyperedge PredictionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Hyunjin Hwang
Seungwoo Lee
Chanyoung Park
Kijung Shin
142
42
0
13 Apr 2022
Reinforcement learning on graphs: A survey
Reinforcement learning on graphs: A surveyIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2022
Mingshuo Nie
Dongming Chen
Dongqi Wang
313
70
0
13 Apr 2022
Arch-Graph: Acyclic Architecture Relation Predictor for
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Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture SearchComputer Vision and Pattern Recognition (CVPR), 2022
Minbin Huang
Zhijian Huang
Changlin Li
Xin Chen
Hangyang Xu
Zhenguo Li
Xiaodan Liang
191
25
0
12 Apr 2022
Adaptive Cross-Attention-Driven Spatial-Spectral Graph Convolutional
  Network for Hyperspectral Image Classification
Adaptive Cross-Attention-Driven Spatial-Spectral Graph Convolutional Network for Hyperspectral Image ClassificationIEEE Geoscience and Remote Sensing Letters (GRSL), 2022
Jin-Yu Yang
Hengchao Li
Wen-Shuai Hu
Lei Pan
Q. Du
83
28
0
12 Apr 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient
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FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph LearningKnowledge Discovery and Data Mining (KDD), 2022
Zhen Wang
Weirui Kuang
Yuexiang Xie
Liuyi Yao
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
383
99
0
12 Apr 2022
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion
  Recognition
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion RecognitionIEEE Transactions on Affective Computing (IEEE TAC), 2022
Yang Li
Ji Chen
Fu Li
Boxun Fu
Hao Wu
Youshuo Ji
Yijing Zhou
Yi Niu
Guangming Shi
Wenming Zheng
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136
133
0
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Continuous-Time User Preference Modelling for Temporal Sets Prediction
Continuous-Time User Preference Modelling for Temporal Sets PredictionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Le Yu
Zihang Liu
Leilei Sun
Bowen Du
T. Zhu
Weifeng Lv
174
9
0
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Graph Ordering Attention Networks
Graph Ordering Attention NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Michail Chatzianastasis
J. Lutzeyer
George Dasoulas
Michalis Vazirgiannis
GNN
172
23
0
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Multi-view graph structure learning using subspace merging on Grassmann
  manifold
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Razieh Ghiasi
Hossein Amirkhani
A. Bosaghzadeh
71
3
0
11 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
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Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
299
105
0
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T- Hop: Tensor representation of paths in graph convolutional networks
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A. Ibraheem
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35
0
0
11 Apr 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with
  Self-Supervision
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-SupervisionInternational Conference on Learning Representations (ICLR), 2022
Dongkwan Kim
Alice Oh
SSLGNN
261
285
0
11 Apr 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee
Augmentation-Free Graph Contrastive Learning with Performance Guarantee
Haonan Wang
Jieyu Zhang
Qi Zhu
Wei Huang
168
31
0
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ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for
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Siqu Long
Josiah Poon
104
22
0
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Are We Really Making Much Progress in Text Classification? A Comparative
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298
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58
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Frequency Selective Augmentation for Video Representation Learning
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Jinhyung Kim
Taeoh Kim
Minho Shim
Dongyoon Han
Dongyoon Wee
Junmo Kim
AI4TS
187
5
0
08 Apr 2022
IA-GCN: Interactive Graph Convolutional Network for Recommendation
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Yinan Zhang
Pei Wang
Congcong Liu
Xiwei Zhao
Hao Qi
Changping Peng
Junsheng Jin
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Zhangang Lin
Jingping Shao
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114
13
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Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Self-Supervised Graph Neural Network for Multi-Source Domain AdaptationACM Multimedia (ACM MM), 2022
Jin Yuan
Feng Hou
Yangzhou Du
Peng Wang
Xin Geng
Jianping Fan
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126
24
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Total Variation Optimization Layers for Computer Vision
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Raymond A. Yeh
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Surface Vision Transformers: Flexible Attention-Based Modelling of
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Simon Dahan
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Logan Z. J. Williams
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172
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Explicit Feature Interaction-aware Graph Neural Networks
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Minkyu Kim
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219
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07 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
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J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
427
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"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better
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Oscar Alejandro Mendez Maldonado
Chris Russell
Richard Bowden
140
6
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GemNet-OC: Developing Graph Neural Networks for Large and Diverse
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Johannes Gasteiger
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242
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Accelerating Backward Aggregation in GCN Training with Execution Path
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139
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