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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
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer
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Christian Eichenberger
M. Neun
Henry Martin
Pedro Herruzo
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Fei Tang
A. Gruca
Michael K Kopp
David P. Kreil
Sepp Hochreiter
249
22
0
31 Mar 2022
Message Passing Neural Networks for Hypergraphs
Message Passing Neural Networks for HypergraphsInternational Conference on Artificial Neural Networks (ICANN), 2022
Sajjad Heydari
L. Livi
GNN
172
17
0
31 Mar 2022
Hypergraph Convolutional Networks via Equivalency between Hypergraphs
  and Undirected Graphs
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs
Jiying Zhang
Fuyang Li
Xi Xiao
Qifeng Bai
Yu Rong
Junzhou Huang
Yatao Bian
GNN
155
29
0
31 Mar 2022
Mutual information estimation for graph convolutional neural networks
Mutual information estimation for graph convolutional neural networks
Marius Cervera Landsverk
S. Riemer-Sørensen
SSLGNN
155
2
0
31 Mar 2022
An unsupervised cluster-level based method for learning node
  representations of heterogeneous graphs in scientific papers
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers
Jie Song
M. Liang
Zhe Xue
Junping Du
Feifei Kou
139
0
0
31 Mar 2022
Surface Vision Transformers: Attention-Based Modelling applied to
  Cortical Analysis
Surface Vision Transformers: Attention-Based Modelling applied to Cortical AnalysisInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
Simon Dahan
Abdulah Fawaz
Logan Z. J. Williams
Chunhui Yang
Timothy S. Coalson
M. Glasser
A. Edwards
Daniel Rueckert
E. C. Robinson
MedImViT
144
26
0
30 Mar 2022
Learning Fair Models without Sensitive Attributes: A Generative Approach
Learning Fair Models without Sensitive Attributes: A Generative ApproachNeurocomputing (Neurocomputing), 2022
Huaisheng Zhu
Suhang Wang
FaML
114
12
0
30 Mar 2022
Research topic trend prediction of scientific papers based on spatial
  enhancement and dynamic graph convolution network
Research topic trend prediction of scientific papers based on spatial enhancement and dynamic graph convolution network
Changwei Zheng
Zhe Xue
M. Liang
Feifei Kou
GNN
114
0
0
30 Mar 2022
Learning of Global Objective for Network Flow in Multi-Object Tracking
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Shuaiyang Li
Yu Kong
Hamid Rezatofighi
VOT
208
20
0
30 Mar 2022
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective
Tim Postuvan
Jiaxuan You
Mohammadreza Banaei
R. Lebret
J. Leskovec
67
1
0
30 Mar 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification
  and Recommendation
Neighbor Enhanced Graph Convolutional Networks for Node Classification and RecommendationKnowledge-Based Systems (KBS), 2022
Hao Chen
Zhong Huang
Yue Xu
Zengde Deng
Feiran Huang
Peng He
Zhoujun Li
GNN
131
60
0
30 Mar 2022
Understanding Graph Convolutional Networks for Text Classification
Understanding Graph Convolutional Networks for Text Classification
S. Han
Zihan Yuan
Kunze Wang
Siqu Long
Josiah Poon
GNN
134
22
0
30 Mar 2022
Enhanced compound-protein binding affinity prediction by representing
  protein multimodal information via a coevolutionary strategy
Enhanced compound-protein binding affinity prediction by representing protein multimodal information via a coevolutionary strategybioRxiv (bioRxiv), 2022
Binjie Guo
Hanyu Zheng
Haohan Jiang
Xiaodan Li
Nai-Yang Guan
Yanming Zuo
Yicheng Zhang
Hengfu Yang
Xuhua Wang
108
4
0
30 Mar 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification
Supervised Graph Contrastive Learning for Few-shot Node Classification
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
OffRL
342
14
0
29 Mar 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNNAI4CE
222
139
0
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Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling
  and Design
Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and DesignIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
Kourosh Hakhamaneshi
Marcel Nassar
Mariano Phielipp
Pieter Abbeel
Vladimir M. Stojanović
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137
48
0
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Instance Relation Graph Guided Source-Free Domain Adaptive Object
  Detection
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VS Vibashan
Poojan Oza
Vishal M. Patel
309
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Revisiting Neighborhood-based Link Prediction for Collaborative
  Filtering
Revisiting Neighborhood-based Link Prediction for Collaborative FilteringThe Web Conference (WWW), 2022
Hao Xu
Patrick Poirson
Kwot Sin Lee
Chen Wang
153
19
0
29 Mar 2022
Graph similarity learning for change-point detection in dynamic networks
Graph similarity learning for change-point detection in dynamic networksMachine-mediated learning (ML), 2022
Déborah Sulem
Henry Kenlay
Mihai Cucuringu
Xiaowen Dong
177
23
0
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Long-term Visual Map Sparsification with Heterogeneous GNN
Long-term Visual Map Sparsification with Heterogeneous GNNComputer Vision and Pattern Recognition (CVPR), 2022
Ming-Fang Chang
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137
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Shangbang Long
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240
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Solving Disjunctive Temporal Networks with Uncertainty under Restricted
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Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Kevin Osanlou
J. Frank
Andrei Bursuc
Tristan Cazenave
Éric Jacopin
Christophe Guettier
J. Benton
AI4CE
190
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0
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DAMNETS: A Deep Autoregressive Model for Generating Markovian Network
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DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time SeriesLOG IN (LOG IN), 2022
J. Clarkson
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Gesine Reinert
AI4TS
86
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0
28 Mar 2022
Learning What You Need from What You Did: Product Taxonomy Expansion
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Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors SupervisionIEEE International Conference on Data Engineering (ICDE), 2022
Sijie Cheng
Zhouhong Gu
Bang Liu
Rui Xie
Wei Wu
Yanghua Xiao
161
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MolGenSurvey: A Systematic Survey in Machine Learning Models for
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Yuanqi Du
Tianfan Fu
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398
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Equivariant Point Cloud Analysis via Learning Orientations for Message
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Equivariant Point Cloud Analysis via Learning Orientations for Message PassingComputer Vision and Pattern Recognition (CVPR), 2022
Shitong Luo
Jiahan Li
Jiaqi Guan
Yufeng Su
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Decoupled Multi-task Learning with Cyclical Self-Regulation for Face
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Qi Zheng
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Zheng Hua Zhu
Ying Li
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163
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Local-Adaptive Face Recognition via Graph-based Meta-Clustering and
  Regularized Adaptation
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Wenbin Zhu
Chien-Yi Wang
Kuan-Lun Tseng
S. Lai
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End-to-End Active Speaker Detection
End-to-End Active Speaker DetectionEuropean Conference on Computer Vision (ECCV), 2022
Juan Carlos León Alcázar
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Guohao Li
223
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Bridge-Prompt: Towards Ordinal Action Understanding in Instructional
  Videos
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional VideosComputer Vision and Pattern Recognition (CVPR), 2022
Muheng Li
Lei Chen
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Zhilan Hu
Jianjiang Feng
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144
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Metropolis-Hastings Data Augmentation for Graph Neural Networks
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169
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TridentNetV2: Lightweight Graphical Global Plan Representations for
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